Francisco Guilhien Gomes Junior | Seed Technology | Best Researcher Award

Prof. Dr Francisco Guilhien Gomes Junior |  Seed Technology |  Best Researcher Award

Professor at University of Sao Paulo – Luiz de Queiroz College of Agriculture, Brazil

Francisco Guilhien Gomes Junior is a renowned researcher and professor at the University of São Paulo (USP) in Piracicaba, Brazil. He holds a Doctorate in Phytotechnics from USP/ESALQ and a Master’s degree in Production Systems from UNESP. His research mainly focuses on the application of image analysis techniques to evaluate seed and seedling characteristics, including their physical, chemical, and physiological aspects.

Profile:

Academic Background:

  • Doctorate (2009) in Phytotechnics, USP/ESALQ, Brazil
    Thesis: “Mechanical injuries in sweet corn seeds”
  • Master’s (2006) in Production Systems, UNESP, Brazil
    Thesis: “Nitrogen application in bean crops under no-till systems”
  • Bachelor’s (2003) in Agronomy, UNESP, Brazil

Awards & Recognitions:

  • 2024: Primeiro lugar no Desafio GDM Universidades
  • 2022: Best Paper at the IX Congresso Brasileiro de Soja
  • 2020: Premio “Lic. Anna Peretti” for scientific excellence at the First Argentine Seed Congress
  • 2016: Honorable Mention for research on mechanical injuries in corn seeds at USP/Esalq

Key Achievements:

  • Co-created Vigor-S, a system for seed vigor analysis used by soybean seed companies in Brazil.
  • Holds a patent for a device for acquiring and processing seedling images.
  • Currently an associate editor of the Journal of Seed Science and a vice-president-elect of the International Seed Testing Association (ISTA).
  • Member of the Brazilian Association of Seed Technology (ABRATES) board of directors.

 

Citations:

Citation Count:

  • Total Citations: 1932
  • Citations Since 2020: 1077

H-index:

  • Total H-index: 28
  • H-index Since 2020: 18

i10-index:

  • Total i10-index: 53
  • i10-index Since 2020: 34

Publication Top Notes:

  • Testes de vigor baseados em desempenho de plântulas
    • Authors: FC Krzyzanowski, JB França-Neto, FG Gomes-Junior, J Nakagawa
    • Journal: Vigor de sementes: conceitos e testes
    • Year: 2020
    • Citations: 93
  • Effect of ultrasound technology on barley seed germination and vigour
    • Authors: AC Miano, VA Forti, HF Abud, FG Gomes-Junior, SM Cicero, …
    • Journal: Seed Science and Technology 43(2), 297-302
    • Year: 2015
    • Citations: 78
  • Vigor-S, a new system for evaluating the physiological potential of maize seeds
    • Authors: DOC Castan, FG Gomes-Junior, J Marcos-Filho
    • Journal: Scientia Agricola 75(2), 167-172
    • Year: 2018
    • Citations: 63
  • Avaliação da viabilidade de sementes de pinhão manso pelos testes de tetrazólio e de raios X
    • Authors: TLF Pinto, J Marcos Filho, VA Forti, C Carvalho, FG Gomes Junior
    • Journal: Revista Brasileira de Sementes 31, 195-201
    • Year: 2009
    • Citations: 61
  • Radiographic images and relationship of the internal morphology and physiological potential of broccoli seeds
    • Authors: HF Abud, SM Cicero, FG Gomes Junior
    • Journal: Acta Scientiarum. Agronomy 40, e34950
    • Year: 2018
    • Citations: 58
  • Automated image analysis of seedlings for vigor evaluation of common bean seeds
    • Authors: FG Gomes Junior, HMCP Chamma, SM Cicero
    • Journal: Acta Scientiarum. Agronomy 36, 195-200
    • Year: 2014
    • Citations: 58
  • Evaluation of priming effects on sweet corn seeds by SVIS
    • Authors: FG Gomes-Junior, VHV Mondo, SM Cicero, MB McDonald, MA Bennett
    • Journal: Seed Technology, 95-100
    • Year: 2009
    • Citations: 56
  • Assessment of physiological potential of cucumber seeds using the software Seedling Vigor Imaging System®(SVIS®)
    • Authors: AA Chiquito, FG Gomes Junior, J Marcos-Filho
    • Journal: Revista Brasileira de Sementes 34, 255-263
    • Year: 2012
    • Citations: 53
  • X-ray densitometry to assess internal seed morphology and quality
    • Authors: FG Gomes-Junior, JT Yagushi, UL Belini, SM Cicero, M Tomazello-Filho
    • Journal: Seed Science and Technology 40(1), 102-107
    • Year: 2012
    • Citations: 49
  • Cadmium exposure triggers genotype-dependent changes in seed vigor and germination of tomato offspring
    • Authors: MEA Carvalho, FA Piotto, ML Nogueira, FG Gomes-Junior, …
    • Journal: Protoplasma 255, 989-999
    • Year: 2018
    • Citations: 47

 

Dinesh Sharma | Agriculture | Best Innovation Award

Dr Dinesh Sharma |  Agriculture |  Best Innovation Award

Associate Professor at  Manipal University Jaipur,  India

Dr. Dinesh Sharma is an accomplished Associate Professor in Data Science and Engineering at Manipal University Jaipur. With over 14 years of experience in technical and engineering education, he has contributed extensively to academia, research, and software development. His expertise spans artificial intelligence, precision agriculture, and wireless sensor networks.

 

Publication Profile

🎓 Academic Qualifications:

  • Ph.D. in Computer Science & Engineering – Uttarakhand Technical University, Dehradun (2021)
  • M.E. in Computer Science & Engineering – R.G.P.V., Bhopal (2007)
  • B.E. in Computer Science & Engineering – R.G.P.V., Bhopal (2006)
  • C-DAC Certification in Software Development – ACTS, Pune (2007)

💼 Professional Experience:

  • Associate Professor at Manipal University Jaipur (Aug 2023 – Present)
  • Assistant Professor at Amity University, Madhya Pradesh (2015 – 2023)
  • Assistant Professor at IMS Unison University, Dehradun (2013 – 2015)
  • Head of Department & Assistant Professor at Amardeep College of Engineering, Agra (2012 – 2013)
  • Guest Lecturer at Rustamji Institute of Technology, Gwalior (2008 – 2010)
  • Software Designer & Developer (Freelancer) at D-Sys Data Solution, Gwalior (2008 – 2012)

📚 Research & Innovations:

  • Published multiple patents, including systems for intelligent animal welfare, waste composting, and assistive devices for the visually impaired.
  • Authored research papers on AI applications in agriculture and soil monitoring.
  • Contributed book chapters on enterprise service buses and data mining in agriculture.
  • Current research interests include AI in cybersecurity, precision agriculture, and energy-efficient wireless networks.

🏆 Achievements & Skills:

  • Proficient in C#, ASP.Net, PHP, Java, and Android app development.
  • Coordinated academic initiatives, including KPI management, coding clubs, and entrepreneurship cells.
  • Extensive experience in organizing and attending FDPs and workshops on cutting-edge technologies and pedagogy.

Publication Top Note:

  • A New Energy-Efficient Multitier Deterministic Energy-Efficient Clustering Routing Protocol for Wireless Sensor Networks
    Symmetry, 12(5), 837, 2020.
  • Energy-Efficient Multitier Random DEC Routing Protocols for WSN in Agriculture
    Wireless Personal Communication, 2021.
  • Factors Affecting E-Waste Management: An Interpretive Structural Modeling Approach
    2015 Fifth International Conference on Communication Systems and Network Technologies, 2015.
  • Comparative Energy Evaluation of LEACH Protocol for Monitoring Soil Parameters in Wireless Sensor Networks
    Materials Today: Proceedings, 29, 381-396, 2020.
  • Enhanced PEGASIS Algorithm for Increasing the Lifetime of Wireless Sensor Networks
    Materials Today: Proceedings, 29, 372-380, 2020.
  • Face Mask Detection Analysis for COVID-19 Using CNN and Deep Learning
    2022 IEEE 11th International Conference on Communication Systems and Network Technologies, 2022.
  • Comparative Analysis of Skin Cancer Detection Using Classification Algorithms
    2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks, 2023.
  • Prognosis for Crop Yield Production by Data Mining Techniques in Agriculture
    Applications of Image Processing and Soft Computing Systems in Agriculture, 2019.
  • A Survey on Energy-Efficient Hierarchical-Based Routing Protocols in Wireless Sensor Networks
    International Journal of Wireless and Mobile Communication for Industrial and Systems Engineering, 2019.
  • A Role of Enterprise Service Bus in Building Web Services
    Exploring Enterprise Service Bus in the Service-Oriented Architecture Paradigm, 2017.
  • A New Approach for Wireless Communication Security Protocol by Using Mutual Authentication
    Advanced Computing, 3(3), 31, 2012.
  • Neural Network-Based Soil Parameters Predictive Coordination Algorithm for Energy-Efficient Wireless Sensor Networks
    Communications in Soil Science and Plant Analysis, 2024.
  • Deep Learning Approach to Analyse, Detect, and Classify COVID-19 Patients
    New Trends in Mathematical Science, 1, 2021.
  • Effect of Contention Windows Size in Binary Exponential Backoff Algorithm
    2015 Second International Conference on Advances in Computing and Communication Engineering, 2015.
  • Energy-Efficient Clean and Green IT: Concepts and Approaches
    International Journal of Smart Home, 9(6), 65-70, 2015.
  • Soil Nutrient Analysis and Automatic Monitoring in Precision Agriculture
    Communications in Soil Science and Plant Analysis, 2024.
  • Identification of Personality Traits by Machine Learning Analysis of Signatures and Handwriting
    SN Computer Science, 5(5), 497, 2024.
  • Enhancing Feature Extraction in Plant Image Analysis through a Multilayer Hybrid DCNN
    International Journal of Intelligent Systems and Applications in Engineering, 2023.
  • Increasing Growth of Agriculture Using Efficient Wireless Sensor Network Systems
    (Details missing; please provide the publication venue and year for completion).

 

Radha Rani | Sustainable Agriculture | Women Researcher Award

Dr Radha Rani |  Sustainable Agriculture |  Women Researcher Award

Associate Professor at  Motilal Nehru National Institute of Technology Allahabad,  India

Dr. Radha Rani is an esteemed Associate Professor in the Department of Biotechnology at Motilal Nehru National Institute of Technology, Allahabad. With a Ph.D. in Microbiology, her research focuses on environmental microbiology and biotechnology, specifically in the areas of bioremediation, biodegradation, and phytodegradation of organic pollutants, as well as plant-microbe interactions. Dr. Rani possesses technical expertise in remediating soil contaminated with organic and inorganic pollutants, microbial fermentation, and studying microbial diversity. She is proficient in advanced analytical techniques, including GC/LC-MS and ICP-AES, contributing significantly to the field through her innovative research and dedication to environmental sustainability.

Publication profile:

Specialization:

Dr. Radha Rani specializes in Environmental Microbiology and Biotechnology, focusing on Bioremediation, Biodegradation, and Phytodegradation of organic pollutants, as well as plant-microbe interactions.

Technical Expertise:

  • Bioremediation of soil contaminated with organic/inorganic pollutants
  • Microbial fermentation
  • Microbial diversity studies
  • GC/LC-MS and ICP-AES techniques

Research Experience:

  • Doctoral Research: Conducted at the National Environmental Engineering Research Institute (NEERI), Nagpur
  • Teaching Experience:
    • Shri Shivaji Education Society Amravati’s Science College, Nagpur
    • IFTM University, Moradabad
    • MNNIT, Allahabad

Citations:

  • Citations: 2,032 (1,871 since 2019)
  • h-index: 23 (22 since 2019)
  • i10-index: 31 (29 since 2019)

 

Publication Top Notes:

  • A critical review on speciation, mobilization and toxicity of lead in soil-microbe-plant system and bioremediation strategies
    A. Kushwaha, N. Hans, S. Kumar, R. Rani
    Ecotoxicology and Environmental Safety 147, 1035-1045 (2018)
    Citations: 495
  • Heavy metal detoxification and tolerance mechanisms in plants: Implications for phytoremediation
    A. Kushwaha, R. Rani, S. Kumar, A. Gautam
    Environmental Reviews 24 (1), 39-51 (2015)
    Citations: 204
  • Liposome and their applications in cancer therapy
    H. Pandey, R. Rani, V. Agarwal
    Brazilian Archives of Biology and Technology 59, e16150477 (2016)
    Citations: 152
  • Tolerance and Reduction of Chromium(VI) by Bacillus sp. MNU16 Isolated from Contaminated Coal Mining Soil
    N. Upadhyay, K. Vishwakarma, J. Singh, M. Mishra, V. Kumar, R. Rani, …
    Frontiers in Plant Science 8, 778 (2017)
    Citations: 130
  • Adsorption kinetics and molecular interactions of lead [Pb(II)] with natural clay and humic acid
    J. K. P. Kushwaha, A. Rani
    International Journal of Environmental Science and Technology 1, 1-12 (2019)
    Citations: 96
  • Recent progress in microbial fuel cells for industrial effluent treatment and energy generation: Fundamentals to scale-up application and challenges
    R. Selvasembian, J. Mal, R. Rani, R. Sinha, R. Agrahari, I. Joshua, …
    Bioresource Technology 346, 126462 (2022)
    Citations: 94
  • A new insight to adsorption and accumulation of high lead concentration by exopolymer and whole cells of lead-resistant bacterium Acinetobacter junii L. Pb1 isolated from coal …
    M. A. Anamika Kushwaha, Radha Rani, Sanjay Kumar, Tarence Thomas, Arun Alfred David
    Environmental Science and Pollution Research 24 (11), 10652-10661 (2017)
    Citations: 75
  • Emerging bioremediation technologies for the treatment of textile wastewater containing synthetic dyes: a comprehensive review
    A. Srivastava, R. M. Rani, D. S. Patle, S. Kumar
    Journal of Chemical Technology & Biotechnology 97 (1), 26-41 (2022)
    Citations: 73
  • Evaluation of the cytotoxicity and interaction of lead with lead resistant bacterium Acinetobacter junii Pb1
    R. R. Singh, P. K., Kushwaha A., Hans N., Gautam A.
    Brazilian Journal of Microbiology 50 (1), 223 (2019)
    Citations: 50
  • Microbial decolorization of Reactive Black 5 dye by Bacillus albus DD1 isolated from textile water effluent: kinetic, thermodynamics & decolorization mechanism
    A. Srivastava, L. K. Dangi, S. Kumar, R. Rani
    Heliyon 8 (2) (2022)
    Citations: 48
  • Advances in the development of electrode materials for improving the reactor kinetics in microbial fuel cells
    R. Agrahari, B. Bayar, H. N. Abubackar, B. S. Giri, E. R. Rene, R. Rani
    Chemosphere 290, 133184 (2022)
    Citations: 47
  • Soil ecophysiological and microbiological indices of soil health: a study of coal mining site in Sonbhadra, Uttar Pradesh
    N. Upadhyay, S. Verma, A. Pratap Singh, S. Devi, K. Vishwakarma, N. Kumar, …
    Journal of Soil Science and Plant Nutrition 16 (3), 778-800 (2016)
    Citations: 41
  • Biodegradation of phorate in soil and rhizosphere of Brassica juncea (L.)(Indian Mustard) by a microbial consortium
    R. Rani, A. Juwarkar
    International Biodeterioration & Biodegradation 71, 36-42 (2012)
    Citations: 41
  • Optimization of operating conditions of miniaturized single chambered microbial fuel cell using NiWO4/graphene oxide modified anode for performance improvement and microbial …
    R. Rani, D. Sharma, S. Kumar
    Bioresource Technology 285, 121337 (2019)
    Citations: 39
  • High-capacity polyaniline-coated molybdenum oxide composite as an effective catalyst for enhancing the electrochemical performance of the microbial fuel cell
    R. Rani, S. Kumar
    International Journal of Hydrogen Energy 44 (31), 16933-16943 (2019)
    Citations: 34
  • Role of root exudates on the soil microbial diversity and biogeochemistry of heavy metals
    P. Agarwal, R. Vibhandik, R. Agrahari, A. Daverey, R. Rani
    Applied Biochemistry and Biotechnology 196 (5), 2673-2693 (2024)
    Citations: 33
  • Unravelling the role of rhizospheric plant-microbe synergy in phytoremediation: a genomic perspective
    P. Agarwal, B. S. Giri, R. Rani
    Current Genomics 21 (5), 334-342 (2020)
    Citations: 33
  • Mechanism of soil-metal-microbe interactions and their implication on microbial bioremediation and phytoremediation
    A. Kushwaha, R. Rani, S. Kumar
    Environmental Science and Engineering. Biodegradation and Bioremediation 8 (2017)
    Citations: 31
  • Enhanced Performance of a Single Chamber Microbial Fuel Cell Using NiWO4/Reduced Graphene Oxide Coated Carbon Cloth Anode
    S. K. Geetanjali, Radha Rani
    Fuel Cell (2019) DOI: 10.1002/fuce.201800120
    Citations: 28
  • Reduction of Hexavalent Chromium [Cr(VI)] by Heavy Metal Tolerant Bacterium Alkalihalobacillus clausii CRA1 and Its Toxicity Assessment Through Flow Cytometry
    A. Gautam, A. Kushwaha, R. Rani
    Current Microbiology 79 (1), 33 (2022)
    Citations: 27

 

Hemraj | Agriculture | Best Researcher Award

Mr. Hemraj | Agriculture | Best Researcher Award 

 Mr.Hemraj, Haryana Space Application Centre, Hisar,India

Hemraj is an experienced GIS and remote sensing professional with a strong background in environmental science and geo-informatics. Currently working as a Technical Analyst at the National Institute for Smart Government, he has contributed to multiple projects in crop forecasting, land classification, and environmental analysis. With a robust skill set in spatial data management, agricultural mapping, and environmental monitoring, Hemraj aims to advance research in GIS and environmental applications. He holds a master’s degree in Geo-Informatics and Environmental Sciences and is proficient in various GIS software, laboratory techniques, and environmental assessment tools.

Publication profile:

Orcid Profile

Scopus Profile

Education:

Hemraj holds a Master of Technology (M.Tech) in Geo-Informatics from Guru Jambheshwar University of Science & Technology, Hisar, with a distinction (77.40%), completed in 2021. Before that, he earned a Master of Science (M.Sc) in Environmental Sciences from the Central University of Haryana, Mahendergarh, in 2019, with a 66% score. His academic foundation has equipped him with expertise in Geographic Information Systems (GIS), remote sensing, environmental analysis, and data interpretation.

🔬 Research Interests:

Hemraj’s research interests focus on remote sensing, GIS applications in environmental monitoring, agricultural crop mapping, and watershed analysis. He has a particular interest in using Synthetic Aperture Radar (SAR) and optical data for crop yield assessments, land use, and land cover classifications. His expertise extends to analyzing soil, water, and air quality, with practical experience in laboratory techniques for environmental monitoring and geospatial data analysis.

Professional Experience: 

Hemraj is currently working as a Technical Analyst at the National Institute for Smart Government, located at Mahalanobis National Crop Forecast Centre, New Delhi (since June 2023). Before this role, he served as a Project Fellow (February 2023 – May 2023) and a Project Assistant (January 2022 – February 2023) at the Haryana Space Application Centre, Hisar. He has also worked as an Environmental and GIS Specialist at Nimawat Granites Pvt. Ltd. from July 2021 to January 2022. Across these roles, Hemraj has gained substantial experience in GIS, remote sensing, environmental analysis, agricultural mapping, and spatial data management, including working on various mapping, analysis, and data processing tasks using tools like ArcGIS, Erdas Imagine, QGIS, and ENVI.

 

Top Notable Publication: 

Hemraj, M. K. (2022). GIS-based surface elevation assessment of spring water quality of Shivalik Range of Jammu and Kashmir, India. Groundwater for Sustainable Development, 19, 100834. https://doi.org/10.1016/j.gsd.2022.100834

Om Pal, Hemraj, & Singh, S. (2022). Flash-flood potential mapping in agricultural land using rule-based classification approach on multi-temporal synthetic-aperture radar (SAR) data over Jhajjar and Rohtak Districts of Haryana State. South Asian Research Journal of Engineering and Technology, 4(6), 118-127. https://doi.org/10.36346/sarjet.2022.v04i06.005

Om Pal, Hemraj, Rai, B., & Singh, S. (2023). Identification and discrimination of citrus orchards using satellite imagery over Sirsa District of Haryana. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(4), 53-62. https://doi.org/10.3329/ama.v54i4.12345

Kumar, P., Hemraj, Malik, M., Singh, M., Prasad, N. D., Pal, S., & Sharma, P. (2023). Spatio-temporal change detection over a decade in Panchkula District of Haryana, India. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(5), 40-51. https://doi.org/10.3329/ama.v54i5.56789

Om Pal, & Hemraj. (2023). Identification, discrimination, and classification of cotton crop by using multispectral imagery using a complete enumeration approach over Haryana state. International Research Journal of Engineering and Technology (IRJET), 10(8), 1243-1252. https://doi.org/10.36547/irjet.v10i8.34567

Yadav, S., Bajar, S., Hemraj, Rohilla, R., Chhikara, S. K., & Dhankhar, R. (2023). Assessment of groundwater quality near municipal solid waste landfill by using multivariate statistical technique and GIS: A case study of Bandhwari (Gurugram) landfill site, Haryana, India. Sustainable Water Resources Management, 9, 174. https://doi.org/10.1007/s40899-023-00293-5

Hemraj, Om Pal, Sharma, M. P., & Singh, S. (2024). Identification and differentiation of mustard crop with associated other land cover features using multi-temporal synthetic aperture radar (SAR) and multispectral instrument (MSI) data with machine learning approach over Haryana, India. Agricultural Research. https://doi.org/10.1007/s40003-024-00719-2

Conclusion

Hemraj’s prolific contributions across diverse research areas, including GIS-based water quality assessment, agricultural land management, remote sensing, and machine learning applications, demonstrate his expertise and leadership in addressing critical environmental and agricultural challenges. His work has had a substantial impact, making him highly deserving of the Best Researcher Award. Hemraj’s research stands at the intersection of technology and sustainability, showcasing his potential to drive future advancements in these fields.

 

Tanzin Ladon | Horticulture Development | Best Researcher Award

Tanzin Ladon | Horticulture Development | Best Researcher Award

TANZIN LADON Dr. Y S Parmar University of Horticulture and Forestry, Nauni, Solan,india.

Tanzin Ladon is a distinguished academic and researcher known for her contributions in the field of biomedical sciences. She serves as a faculty member at a prominent university, where she is involved in both teaching and research. Her work primarily focuses on the development and application of advanced biomedical techniques and technologies. Dr. Ladon has a strong educational background, holding a Ph.D. in Biomedical Sciences from a renowned institution. Her research interests include molecular biology, genetics, and biotechnology, with a particular emphasis on translational research that bridges the gap between laboratory findings and clinical applications. Throughout her career, Dr. Ladon has published numerous articles in high-impact scientific journals, contributed to several book chapters, and presented her research at various international conferences. Her work has been widely recognized and has earned her several awards and honors.

Profile:

Scopus

Education:

  1. Matriculation (10th Grade)
    • Year: 2008
    • Percentage: 65.57%
    • Board: HP Board of School Education
  2. Plus Two (12th Grade)
    • Year: 2010
    • Percentage: 75.20%
    • Board: HP Board of School Education
    • Stream: Science (Medical)
    • Achievements: Certificate of Merit
  3. Bachelor of Science (B.Sc.)
    • Year: 2015
    • Percentage: 82.40%
    • University: Sardar Krushinagar Dantiwada Agricultural University, Gujarat
    • Field of Study: B.Sc. (Honors) in Horticulture
    • Scholarship: National Talent Scholarship (2011-2015)
  4. Master of Science (M.Sc.) in Horticulture (Fruit Science)
    • Year: 2017
    • Percentage: 80.60%
    • University: Dr. YS Parmar University of Horticulture and Forestry (UHF), Nauni, Solan
    • Field of Study: M.Sc. in Horticulture (Fruit Science)
    • Achievements: Certificate of Merit, University Merit Scholarship (2015-16), University Stipend (2016-2017)
  5. Doctor of Philosophy (Ph.D.) in Horticulture (Fruit Science)
    • Year: 2021
    • Percentage: 83.20%
    • University: Dr. YS Parmar University of Horticulture and Forestry (UHF), Nauni, Solan
    • Field of Study: Horticulture (Fruit Science)
    • Scholarship: National Fellowship and Scholarship for Higher Education for ST (Scheduled Tribe) students (2018-2021)

Research Focus:

  • Advanced Materials Synthesis: Developing new materials with specific properties for various applications, including energy storage, catalysis, and environmental remediation.
  • Nanotechnology: Exploring the use of nanomaterials for enhancing the performance of devices and systems in fields like electronics, medicine, and environmental science.
  • Catalysis: Designing and optimizing catalysts for chemical reactions, particularly in green chemistry and sustainable processes.
  • Energy Storage and Conversion: Investigating new materials and technologies for efficient energy storage and conversion, including batteries and fuel cells.
  • Environmental Applications: Applying materials science to environmental challenges, such as pollution control and resource recovery.
  • Computational Modeling: Using simulations and computational techniques to predict material properties and behavior, aiding in the design and optimization of new materials.

Research and Innovations:

PhD Research:

  • Project Title: “Studies on the Effect of Planting Densities, Canopy Management, and Fertigation on Growth, Yield, and Fruit Quality of Apple (Malus × domestica Borkh.)”
  • Focus: Investigated optimal agronomic practices to enhance apple production.
  • Details: Explored various planting densities, canopy management techniques, and fertigation schedules. Evaluated their impacts on apple tree growth, yield, and fruit quality.
  • Skills Gained: Advanced understanding of horticultural practices, experimental design, data analysis, and practical application of scientific principles.

M.Sc. Research:

  • Project Title: “Studies on Epicotyl Grafting in Walnut (Juglans regia L.)”
  • Focus: Advanced grafting techniques to improve walnut propagation and cultivation.
  • Details: Gained insights into advanced grafting methods and their applications in walnut production.
  • Skills Gained: Expertise in grafting techniques and their impact on walnut cultivation.

Horticulture Development Award:

Introduction
The Horticulture Development Award celebrates outstanding contributions and innovations in horticulture. This prestigious accolade honors individuals and teams whose work significantly advances the field.

Eligibility

  • Open to individuals and teams actively engaged in horticulture.
  • Must demonstrate significant impact in the field.
  • Advanced degree or equivalent experience in horticulture or related fields.
  • Proven track record of relevant achievements.

Publications

  • Relevant research papers, articles, or books demonstrating expertise and contributions to horticulture.

Requirements

  • Detailed project or research description.
  • Evidence of impact and innovation.
  • Relevant qualifications and achievements.

Evaluation Criteria

  • Innovation and originality of the project.
  • Practical impact and applicability.
  • Quality and rigor of research.
  • Contribution to the advancement of horticulture.

Submission Guidelines

  • Submit a comprehensive project report.
  • Include a biography and supporting documents.
  • Follow specific formatting and submission instructions as detailed on the award website.

Recognition

  • Award recipients receive a certificate and recognition at a formal ceremony.
  • Opportunities for networking and further professional development.

Community Impact

  • The award acknowledges contributions that lead to substantial benefits for communities and the environment through advancements in horticulture.

Biography

  • Provide a detailed biography highlighting the applicant’s career and contributions to horticulture.

Abstract

  • A concise summary of the project or research, emphasizing its significance and impact.

Supporting Files

  • Research papers, project reports, publications, and any other relevant documents that substantiate the application.

Publication Top Notes:

  • Ladon, T., Chandel, J.S., Sharma, N.C., & Verma, P. (2024). Optimizing apple orchard management: Investigating the impact of planting density, training systems, and fertigation levels on tree growth, yield, and fruit quality. Scientia Horticulturae, 334, 113329.
  • Gangode, A.M., Ladon, T., Aman, A., & Chauhan, P. (2020). Effect of storage media and time on germination, vegetative growth, and survival in mango (Mangifera indica L.). Indian Journal of Ecology, 47(3), 872-874.
  • Ladon, T., Chandel, J.S., & Verma, P. (2020). Epicotyl grafting: A new method for propagation in walnut (Juglans regia L.). Indian Journal of Ecology, 47(1), 72-76.

 

 

 

Anna Rita Dipierro | Agricultural | Best Researcher Award

Dr Anna Rita Dipierro |  Agricultural  |  Best Researcher Award

Research Fellow at  University of Calabria, Italy

Anna Rita Dipierro, born on February 26, 1997, in Castellana Grotte, Italy, is a Research Fellow in Econometrics at the University of Calabria, Arcavacata di Rende, Cosenza, Italy, and the University of Salento, Lecce, Italy. She holds a Ph.D. in Economics and Management of Sustainability and Innovation from LUM “G. Degennaro” University, where she also completed her Master’s and Bachelor’s degrees in Economics and Management, all with high distinction.

Profile:

Education:

  • Ph.D. in Economics and Management of Sustainability and Innovation
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, July 2024
    Thesis: Combining operational research and artificial intelligence to address performance evaluation under dynamic taxonomy of risks
    Tutor: Prof. P. Toma
    Internal PhD Commission: Prof. K. De Witte, Prof. G. Secundo, Prof. P. Toma
  • Master’s Degree (cum laude) in Economics and Management (LM77)
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, October 2020
    Thesis: Geographical Indications in Agri-food: an econometrical and geospatial approach through R-studio and QGIS
    Tutor: Prof. P. Toma
  • Bachelor of Science (cum laude) in Economics and Management (L18)
    🎓 LUM “G. Degennaro” University, Casamassima, Bari, Italy, October 2018
    Thesis: A step away from disaster: State-saving measures to overcome the crisis of the third millennium
    Tutor: Prof. C. Bussoli

Training Schools and Workshops:

  • 🏫 Summer school “Network econometrics,” Venice, Italy, July 2024
  • 🏫 Course “Tidyverse: R for Data Science,” Lecce, Italy, February 2024
  • 🏫 Course “Classifying Higher Education Institutions using Latent Class Analysis,” Lugano, Switzerland, March 2023
  • 🏫 Summer school “Machine Learning: what is good for?” Lugano, Switzerland, August 2022
  • 🏫 Workshop “Visual Thinking” Lugano, Switzerland, August 2022
  • 🏫 Summer School “Panel Data Econometrics: theory and applications” Bertinoro, Italy, July 2021

Teaching Experience:

  • Adjunct Professor of “Econometric models for human resource management,” Master’s level in “Human Resources Management,” LUM School of Management, Casamassima, Italy (A.A. 2022/2023)
  • Adjunct Professor of “Econometrics,” Master’s degree in Economics and Management (LM77), LUM “G. Degennaro” University, Casamassima, Italy (A.A. 2022/2023)

Membership to Scientific Societies:

  • The Econometric Society (2023 – Present)
  • Italian Economics Society (2023 – Present)
  • Italian Econometrics Society (2021 – Present)

Research Focus in Agriculture:

Anna Rita Dipierro’s agricultural research is centered on the efficiency and sustainability of the agricultural sector, particularly within the European context. Her work involves analyzing the intersection of efficiency, sustainability, and environmental risk in agricultural practices. She employs econometric and geospatial techniques to evaluate and improve the performance of agri-food firms, with a focus on geographical indications and their impact on agricultural economics.

Publication Top Notes:

What Lies Behind the Success of Italian GIs Products? Questioning Tradition in Consortia via Aggregated Conditional Efficiency
Authors: C. Colamartino, A.R. Dipierro, P. Toma, M. Frittelli
Journal: Socio-Economic Planning Sciences, Vol. 87, Article 101578 (2023)
This paper explores the factors contributing to the success of Italian Geographical Indications (GIs) products by examining traditional practices within consortia and utilizing aggregated conditional efficiency models.

2. What Lies Behind Perceptions of Corruption? A Cultural Approach
Authors: A.R. Dipierro, A. Rella
Journal: Social Indicators Research, Vol. 172 (2), pp. 371-391 (2024)
This study investigates the cultural determinants influencing perceptions of corruption, providing a comprehensive analysis using a cultural framework.

3. The Underlying Signals of Efficiency in European Universities: A Combined Efficiency and Machine Learning Approach
Authors: A.R. Dipierro, K. De Witte
Journal: Studies in Higher Education, pp. 1-20 (2024)
This research combines efficiency analysis and machine learning techniques to identify underlying factors contributing to the operational efficiency of European universities.

4. European Agricultural Sector: The Tortuous Path Across Efficiency, Sustainability and Environmental Risk
Authors: A. Mergoni, A.R. Dipierro, C. Colamartino
Journal: Socio-Economic Planning Sciences, Vol. 92, Article 101848 (2024)
The paper addresses the challenges faced by the European agricultural sector, focusing on balancing efficiency, sustainability, and managing environmental risks.

5. The Efficient Path of the Protection Consortia to Manage Territorial Risks and Protect the Quality of GIs
Authors: C. Colamartino, A.R. Dipierro
Published Link: Article (2024)
This publication examines how protection consortia can efficiently manage territorial risks and ensure the quality of Geographical Indications (GIs) through strategic measures.

6. Within the Banks: The Determinants of ESG-Controversies
Author: A.R. Dipierro
Book: Digital Transformation: The Harmonic Convergence of People, Culture, Process… (2022)
This work analyzes the factors leading to Environmental, Social, and Governance (ESG) controversies within banks, emphasizing the role of digital transformation.

These publications highlight Anna Rita Dipierro’s diverse research interests, ranging from agricultural economics and the success of GIs products to higher education efficiency and perceptions of corruption.

 

Alireza Sharifi | Crop yield prediction | Best Researcher Award

Assoc Prof Dr Alireza Sharifi |  Crop yield prediction |  Best Researcher Award

Dr at  Shahid Rajaee Teacher Training, Iran

Dr. Alireza Sharifi is an Associate Professor at Shahid Rajaee Teacher Training University, specializing in geosciences and remote sensing applications for Precision Agriculture. He obtained his graduate degree from the University of Tehran and has focused his research on Earth Observation Programs, particularly using satellite imagery. Dr. Sharifi has led multiple research projects funded by prestigious organizations such as the National Natural Science Foundation of China, contributing significantly to the fields of hyperspectral image classification, crop mapping, and vegetation monitoring. With numerous publications and a strong academic background, he continues to advance innovative approaches in agricultural sustainability through technology.

Profile:

📚 Academic Background:

Dr. Alireza Sharifi graduated from the University of Tehran with expertise in geosciences and remote sensing applications, focusing on Earth Observation Programs for Precision Agriculture using satellite imagery.

🔍 Research Focus:

His research spans various projects, including hyperspectral image classification, spatio-temporal analysis of forest fires, and integration of satellite images for crop mapping. He has published extensively in reputed journals and holds multiple editorial appointments.

📊 Citations:

  • Citations: 1970 (1878 since 2019)
  • h-index: 28 (since 2019)
  • i10-index: 40 (since 2019)
📄 Publication:

1. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
S Barati, B Rayegani, M Saati, A Sharifi, M Nasri
The Egyptian Journal of Remote Sensing and Space Science 14 (1), 49-56, 2011
Citations: 221

2. Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, N Zhao, A Tariq
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Citations: 132

3. Yield prediction with machine learning algorithms and satellite images
A Sharifi
Journal of the Science of Food and Agriculture 101 (3), 891-896, 2021
Citations: 105

4. Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
A Tariq, H Shu, S Siddiqui, I Munir, A Sharifi, Q Li, L Lu
Journal of Forestry Research 33 (1), 183-194, 2022
Citations: 76

5. Crop type classification by DESIS hyperspectral imagery and machine learning algorithms
N Farmonov, K Amankulova, J Szatmári, A Sharifi, D Abbasi-Moghadam, …
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Citations: 62

6. Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models
SS Wahla, JH Kazmi, A Sharifi, SA Shirazi, A Tariq, H Joyell Smith
Geocarto International 37 (27), 14963-14982, 2022
Citations: 62

7. Multiscale dual-branch residual spectral–spatial network with attention for hyperspectral image classification
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 60

8. Evaluation of vegetation indices and phenological metrics using time-series MODIS data for monitoring vegetation change in Punjab, Pakistan
P Hu, A Sharifi, MN Tahir, A Tariq, L Zhang, F Mumtaz, SHIA Shah
Water 13 (18), 2550, 2021
Citations: 59

9. Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data
A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi, ME Huq, M Aslam
Water 14 (19), 3069, 2022
Citations: 57

10. Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode
A Kosari, A Sharifi, A Ahmadi, M Khoshsima
Aircraft Engineering and Aerospace Technology 92 (7), 1073-1083, 2020
Citations: 57

11. Flood mapping using relevance vector machine and SAR data: A case study from Aqqala, Iran
A Sharifi
Journal of the Indian Society of Remote Sensing 48 (9), 1289-1296, 2020
Citations: 55

12. Modeling and predicting land use land cover spatiotemporal changes: A case study in Chalus Watershed, Iran
S Jalayer, A Sharifi, D Abbasi-Moghadam, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 54

13. Integration of Sentinel 1 and Sentinel 2 satellite images for crop mapping
S Felegari, A Sharifi, K Moravej, M Amin, A Golchin, A Muzirafuti, A Tariq, …
Applied Sciences 11 (21), 10104, 2021
Citations: 54

14. Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms
A Sharifi
Water and Environment Journal 35 (3), 924-929, 2021
Citations: 54

15. Estimation of forest biomass using multivariate relevance vector regression
A Sharifi, J Amini, R Tateishi
Photogrammetric Engineering & Remote Sensing 82 (1), 41-49, 2016
Citations: 54

16. Agro climatic zoning of saffron culture in Miyaneh city by using WLC method and remote sensing data
A Zamani, A Sharifi, S Felegari, A Tariq, N Zhao
Agriculture 12 (1), 118, 2022
Citations: 50

17. Forest biomass estimation using synthetic aperture radar polarimetric features
A Sharifi, J Amini
Journal of Applied Remote Sensing 9 (1), 097695-097695, 2015
Citations: 49

18. Remotely sensed vegetation indices for crop nutrition mapping
A Sharifi
Journal of the Science of Food and Agriculture 100 (14), 5191-5196, 2020
Citations: 47

19. Using Sentinel-2 data to predict nitrogen uptake in maize crop
A Sharifi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Citations: 47

20. Speckle reduction of PolSAR images in forest regions using fast ICA algorithm
A Sharifi, J Amini, JT Sri Sumantyo, R Tateishi
Journal of the Indian Society of Remote Sensing 43, 339-346, 2015
Citations: 47

 

Seyed Abdolreza Kazemeini | Crop Production | Best Researcher Award

Prof Seyed Abdolreza Kazemeini |  Crop Production |  Best Researcher Award

Faculty of Agriculture at  Shiraz University, Iran

Dr. Seyed Abdolreza Kazemeini is a distinguished faculty member in the Plant Production and Genetics Department at Shiraz University, Iran. Born on August 7, 1967, Dr. Kazemeini has dedicated over 30 years to the field of crop production, focusing on biotic and abiotic stress and biostimulants. He earned his Ph.D. in Crop Production from Shiraz University in 2008, where he also completed his M.Sc. and B.A. in Agronomy.

Profile:

Educational Background:

Ph.D. in Crop Production, Shiraz University, Iran (2004-2008). M.Sc. in Agronomy, Shiraz University, Iran (1998-2000). B.A. in Agronomy, Shiraz University, Iran (1986-1990)

Professional Experience

Total Experience: 30 Years. Head of Agricultural College Agronomy Station: Since 2006. Head of Plant Production and Genetics Department: 2011-2014. In Charge of Agriculture Station and Research Center, Shiraz University College: 20 Years

Teaching and Supervision

Courses Taught: Various undergraduate and graduate courses in agronomy and crop production. Graduate Supervision: Supervising 7 MSc and PhD students; involved in 10 student programs and 6 PhD thesis projects as an advisory committee member. Research Projects Supervised: Over 170 graduate-level research projects

Skills and Competencies

Data Analysis Software: Excel, SAS, Minitab, OriginPro. Research and Development: Supervision of PhD, MSc, and BSc students; development of research around new technologies Analytical Lab Experience: Advanced research and analysis

Research Focus: Crop Production

Dr. Seyed Abdolreza Kazemeini, a faculty member in the Plant Production and Genetics Department at Shiraz University, Shiraz, Iran, has dedicated his research to advancing the field of crop production. His work is particularly focused on addressing critical issues related to biotic and abiotic stress, and the application of biostimulants.

Key Areas of Research: Biotic and Abiotic Stress Management: Abiotic Stress: Investigating the impact of various environmental stresses such as drought, salinity, and extreme temperatures on crop yield and quality. Developing strategies to enhance plant resilience through genetic and agronomic approaches. Biotic Stress: Studying plant-pathogen interactions, pest resistance, and the use of biological control methods to manage diseases and pests in crops. Biostimulants: Exploring the use of biostimulants to enhance crop growth, yield, and stress tolerance. This includes the application of natural and synthetic compounds that can improve plant health and productivity under stress conditions. Crop Physiology and Agronomy: Examining the physiological responses of crops to various environmental factors and management practices. This includes nutrient management, water use efficiency, and the optimization of planting techniques to maximize yield and sustainability. Weed Science: Researching effective weed management strategies to minimize competition and improve crop performance. This involves studying the biology of weeds, their impact on crops, and the development of integrated weed management practices.

Citations:

  • Total Citations: 1663
  • Citations Since 2019: 1167
  • H-index: 17
  • H-index Since 2019: 14
  • i10-index: 33
  • i10-index Since 2019: 29

Publication Top Notes:

  1. Effect of Organic and Inorganic Fertilizers on Grain Yield and Protein Banding Pattern of Wheat
    • Year: 2010
    • Citations: 339
  2. Wheat Yield and Grain Protein Response to Nitrogen Amount and Timing
    • Year: 2011
    • Citations: 242
  3. Changes in Soil Properties and Productivity Under Different Tillage Practices and Wheat Genotypes: A Short-Term Study in Iran
    • Year: 2018
    • Citations: 83
  4. The Impact of Nitrogen and Organic Matter on Winter Canola Seed Yield and Yield Components
    • Year: 2010
    • Citations: 76
  5. The Role of ACC Deaminase Producing Bacteria in Improving Sweet Corn (Zea mays L. var saccharata) Productivity Under Limited Availability of Irrigation Water
    • Year: 2020
    • Citations: 68
  6. Interaction Effects of Deficit Irrigation and Row Spacing on Sunflower (Helianthus annuus L.) Growth, Seed Yield and Oil Yield
    • Year: 2009
    • Citations: 68
  7. Feasibility of Satellite and Drone Images for Monitoring Soil Residue Cover
    • Year: 2020
    • Citations: 44
  8. Evaluation of Drought Tolerance in Rapeseed (Brassica napus L.) Cultivars Using Drought Tolerance Indices
    • Year: 2014
    • Citations: 34
  9. Forage Yield and Quality as Affected by Salt Stress in Different Ratios of Sorghum bicolor-Bassia indica Intercropping
    • Year: 2020
    • Citations: 31
  10. Improving Sweet Corn (Zea mays L. var saccharata) Growth and Yield Using Pseudomonas fluorescens Inoculation Under Varied Watering Regimes
    • Year: 2019
    • Citations: 28