Shiv Kumar Shivandu | Horticulture | Best Researcher Award

Dr. Shiv Kumar Shivandu | Horticulture | Best Researcher Award

Young Professional at Indian Agricultural Research Institute India

Shiv Kumar Shivandu is a dedicated PhD scholar at the ICAR-Indian Agriculture Research Institute, specializing in sustainable horticulture practices. His research focuses on plant growth regulators, micronutrient management, and climate-resilient fruit production, with notable work on enhancing flowering, fruit quality, and yield in litchi under sub-tropical conditions. Shiv’s prior studies also include optimizing pre-sowing treatments and grafting techniques in mango. His innovative approach integrates AI, IoT, and green technologies to improve agricultural practices, demonstrating a strong commitment to sustainability. Shiv has published extensively in peer-reviewed journals, addressing key areas such as crop regulation and precision agriculture. He is an active member of professional organizations like Krishi Kumbh and AAISA and has contributed to projects like the updation of People Biodiversity Registers in Himachal Pradesh. Despite the promising impact of his work, Shiv’s research profile could benefit from increased industry collaborations and a broader publication record.

Professional Profile 

Google Scholar
ORCID Profile 

Education:

Shiv Kumar Shivandu is currently pursuing a Ph.D. in Fruit Science at the prestigious ICAR-Indian Agricultural Research Institute, specializing in sustainable horticulture practices. His academic journey is marked by a deep focus on plant growth regulators, micronutrient management, and climate-resilient fruit production. As a Ph.D. scholar, Shiv has dedicated significant effort to understanding the impact of various agricultural practices on fruit quality and yield, particularly in litchi cultivation under sub-tropical conditions. He has also conducted research on optimizing pre-sowing treatments and grafting techniques in mango. Shiv’s academic background is complemented by his active involvement in reviewing scientific manuscripts for reputed journals, showcasing his scholarly contribution to the field. His research endeavors reflect a commitment to advancing sustainable agricultural practices and integrating cutting-edge technologies like AI and IoT into agriculture. Through his academic achievements, Shiv Kumar Shivandu has positioned himself as a promising young researcher in the field of fruit science.

Professional Experience:

Shiv Kumar Shivandu is a dedicated PhD scholar in the Department of Fruit Science at ICAR-Indian Agricultural Research Institute, specializing in sustainable horticulture practices. With a strong academic foundation, his research focuses on enhancing fruit production through innovative techniques such as the application of plant growth regulators and micronutrient management. Shiv’s work on improving flowering, fruit quality, and yield in litchi, especially under sub-tropical conditions, has been instrumental in advancing horticultural practices. He has also explored optimizing pre-sowing treatments and grafting techniques in mango, further demonstrating his expertise in fruit science. Beyond research, Shiv has contributed to projects like the updation of People Biodiversity Registers in Himachal Pradesh and has reviewed scientific manuscripts for reputed journals. His involvement in integrating AI, IoT, and green technologies into agriculture reflects his commitment to innovation and sustainability, positioning him as a promising researcher in the field of sustainable agriculture.

Research Interest:

Shiv Kumar Shivandu’s research interests are centered around sustainable horticultural practices, with a focus on enhancing fruit production under climate-resilient conditions. His primary area of expertise lies in the application of plant growth regulators and micronutrient management to improve growth, flowering, fruit quality, and yield in crops such as litchi. Shiv’s work also explores innovative techniques like pre-sowing treatments and grafting methods to optimize fruit production, particularly in mango cultivation. Additionally, his research integrates cutting-edge technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to promote precision agriculture and sustainable farming practices. By leveraging green technologies, Shiv aims to address challenges in climate change, resource management, and crop productivity. His work contributes to the development of strategies that ensure long-term agricultural sustainability while improving the quality and yield of horticultural crops, ultimately benefiting both farmers and the environment.

Award and Honor:

Shiv Kumar Shivandu has demonstrated exceptional dedication and innovation in the field of sustainable horticulture, earning recognition for his significant contributions to fruit science. As a PhD scholar specializing in plant growth regulators, micronutrient management, and climate-resilient fruit production, Shiv’s research has focused on enhancing fruit quality and yield in crops like litchi and mango. His work on integrating AI, IoT, and green technologies in agriculture reflects his commitment to advancing sustainability and precision agriculture. Shiv has authored several publications in peer-reviewed journals, contributing valuable insights to the field. Additionally, he has actively participated in projects such as updating the People Biodiversity Registers in Himachal Pradesh. His expertise and research have positioned him as a promising young professional in agricultural science. Shiv Kumar Shivandu’s dedication to innovation, sustainability, and scientific advancement has earned him recognition and respect within the academic community, making him a notable figure in the field of agricultural research.

Conclusion:

Shiv Kumar Shivandu is a promising young researcher with a strong focus on sustainable horticulture, particularly in the areas of plant growth regulators, micronutrient management, and climate-resilient fruit production. His research on enhancing flowering, fruit quality, and yield in litchi, along with his work on optimizing grafting techniques in mango, demonstrates his dedication to improving agricultural practices. His contributions to integrating AI, IoT, and green technologies into agriculture further highlight his innovative approach. While his research output is commendable, expanding his involvement in consultancy projects, increasing collaborations with other institutions, and further enhancing his publication and patent portfolio would strengthen his profile. Nevertheless, Shiv’s work has significant potential to advance sustainable agricultural practices, and his commitment to innovation makes him a strong candidate for the Best Researcher Award. His contributions are impactful, and with continued growth in his professional journey, he is poised for even greater success in the field.

Publications Top Noted:

Title: Integrating artificial intelligence and Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture
Authors: Kushagra Sharma, Shiv Kumar Shivandu
Year: 2024

 

Stefan Gordanic | Agronomy | Best Researcher Award

Dr Stefan Gordanic |  Agronomy |  Best Researcher Award

Research Associate at  Institute for Medicinal Plants Research “Dr Josif Pančic”,  Serbia

Stefan Gordanić is a researcher at the Institute for Medicinal Plants Research “Dr. Josif Pančić” in Belgrade, Republic of Serbia. He specializes in the study of medicinal plants and their potential therapeutic applications. Stefan is actively involved in scientific research and has contributed to the advancement of knowledge in the field of plant-based medicine. He is passionate about exploring the bioactive compounds found in medicinal plants and their impact on human health.

Profile:

Education:

  • 2018: Bachelor of Science in Agriculture (Crop Farming), University of Belgrade, Faculty of Agriculture, Belgrade, Serbia
  • 2018–2019: Master of Science in Agriculture (Land and Water Management), University of Belgrade, Faculty of Agriculture, Belgrade, Serbia
  • 2019–2024: Ph.D. Studies in Agronomy, Faculty of Agriculture, University of Belgrade, Serbia

Professional Experience:

  • 2018–2019: Agricultural Advisory Service, PSSS Loznica
  • 2019–2020: Zemun Polje (ZP) Maize Institute
  • 2020–Present: Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia

Progress in Research Position:

  • 2020–Present: Research Trainee, Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia
  • 2022–Present: Research Associate, Institute for Medicinal Plant Research “Dr. J. Pancic”, Belgrade, Serbia

Publication Top Notes:

  • The Natural Habitats, Nutrients, and Heavy Metal Status of Wild Steppe Peony Populations in Serbia
    Marković, T., Tanasić, B., Gordanić, S., Lukić, M., Radanović, D.
    Horticulturae, 2024, 10(9), 972.
  • Improvement in Sustainable Production of Medicinal Herbs-Mint, Lemon Balm, and Marshmallow
    Simić, D., Janković, S., Popović, V., Nikolić, D., Gordanić, S.
    Agriculture and Forestry, 2024, 70(2), pp. 49–59.
  • Nutritional and Phytochemical Comparative Analysis of Conventional/Organic Maize Grain Before and After Subjection to Accelerated Aging Test – A Preliminary Study
    Golijan Pantović, J., Petronijević, R., Gordanić, S., Lekić, S., Kostić, A.Ž.
    Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 2024, 52(2), 13581.
  • A Detailed Survey of Agroecological Status of Allium ursinum Across the Republic of Serbia: Mineral Composition and Bioaccumulation Potential
    Gordanić, S.V., Kostić, A.Ž., Krstić, D., Marković, T., Moravčević, D.
    Heliyon, 2023, 9(11), e22134.
  • The Seed Traits Associated with Dormancy and Germination of Herbaceous Peonies, Focusing on Species Native in Serbia and China
    Marković, T., Prijić, Ž., Xue, J., Lukić, M., Gordanić, S.
    Horticulturae, 2022, 8(7), 585.
  • In Vitro Evaluation of Antioxidative Activities of the Extracts of Petals of Paeonia lactiflora and Calendula officinalis Incorporated in the New Forms of Biobased Carriers
    Batinić, P.M., Milošević, M.D., Lukić, M.M., Bugarski, B.M., Marković, T.Lj.
    Food and Feed Research, 2022, 49(1), pp. 23–35.
  • Phytochemical Characterization and Antioxidant Potential of Allium ursinum L. Cultivated on Different Soil Types – A Preliminary Study
    Stefan, G., Dragoja, R., Sandra, V., Đorđe, M., Aleksandar, Ž.K.
    Emirates Journal of Food and Agriculture, 2022, 34(11), pp. 904–914.
  • Seed Health Treatments in Organic Seed Production
    Golijan-Pantović, J., Sečanski, M., Gordanić, S.
    Agriculture and Forestry, 2022, 68(4), pp. 41–57.

 

Américo Ferraz Dias Neto | Agriculture | BioAgri Innovator Excellence Award

Dr Américo Ferraz Dias Neto |  Agriculture |  BioAgri Innovator Excellence Award

Executivo agrícola at  UNICAMP,  Brazil

Dr. Américo Ferraz Dias Neto is an accomplished Agricultural Engineer with over 20 years of experience in the bioenergy sector, specializing in agroindustrial processes, supply chain optimization, and sustainable agricultural operations. His expertise spans controlled traffic agriculture, digital agriculture, and predictive models for production improvement. Dr. Dias Neto has led large-scale projects and managed significant agricultural operations, gaining recognition through awards like the Outstanding Alumnus Award from UNICAMP and the Norman Joseph King Award.

Publication Profile

Education:

  • Ph.D. in Agricultural Engineering, FEAGRI-UNICAMP (2021)
  • M.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (2000)
  • B.Sc. in Agricultural Engineering, FEAGRI-UNICAMP (1997)

Professional Experience:

  • Américo Ferraz Consult (2017–Present): Consulting in bioenergy, specializing in agricultural production management and sustainability.
  • Novo Milênio Distillery (2023–2024): Managed agricultural production over 28,000 hectares, enhancing productivity.
  • UMOE Bioenergy (2017–2020): Oversaw agro-industrial operations for a 42,000-hectare unit producing ethanol and energy.
  • Atvos (2007–2016): Led digital agriculture and logistics projects, implementing technologies for crop monitoring and cost reduction.

Publications & Patents:

Dr. Dias Neto has contributed to numerous publications focused on mechanized sugarcane harvesting, soil management, and digital agriculture. His notable patent includes “Soft Cana,” an innovative technology for sugarcane agriculture (2022).

Awards:

  • Norman Joseph King Award, ISSCT Congress (2023)
  • Outstanding Alumnus Award, UNICAMP (2023)

Publication Top Notes

  • Advancements of Agriculture 4.0 in Mechanized Sugarcane Harvesting: A Review
    Ciência Rural (2024)
    DOI: 10.1590/0103-8478cr20220562
    Contributors: Américo Ferraz Dias Neto, Jenyffer da Silva Gomes Santos, Raffaella Rossetto, João Domingos Biagi, Daniel Albiero
  • Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane Agriculture
    Agriculture (2024)
    DOI: 10.3390/agriculture14111877
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  • Use of Vegetation Activity Index for Evaluation of L-Alpha Amino Acid Treatment in Sugarcane (Preprint)
    (2024-09-22)
    DOI: 10.20944/preprints202409.1603.v1
    Contributors: Américo Ferraz Dias Neto, Ivan Bazo Bergamim, Flavio Roberto de Freitas Gonçalves, Raffaella Rossetto, Daniel Albiero
  • Strip Soil Tillage and Traffic Over the Soil on Sugar Cane Compared to Conventional Tillage Systems
    Sugar Tech (2023)
    DOI: 10.1007/s12355-023-01267-y
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi, Jenyffer Gomes da Silva
  • Modeling of Mechanized Sugarcane Harvesting to Support Decision-Making on Asset Management
    Sugar Tech (2022)
    DOI: 10.1007/s12355-022-01126-2
    Contributors: Américo Ferraz Dias Neto, Daniel Albiero, Raffaella Rossetto, João D. Biagi

 

Chitranjan Sharma | Soil Science and Fertility Management | Best Researcher Award

Chitranjan Sharma | Soil Science and Fertility Management | Best Researcher Award

Dr Chitranjan Sharma, Amity University Uttar Pradesh, Noida, India, India

Dr.  Dr Chitranjan Sharma is an accomplished academic with a strong background in agriculture and soil science. Holding a B.Sc. in Agriculture (1997) and an M.Sc. in Ag Chemistry & Soil Science (1999) from SSJMU Kanpur and the University of Allahabad, respectively, he earned a Gold Medal and distinction throughout his studies. He completed his D.Phil. in Science (2005), focusing on phytoremediation. Dr. [Name] has taught at various institutions, including the University of Allahabad and Amity University. Currently, he is an Assistant Professor and Program Leader at Amity University, specializing in soil science and crop production. 🧑‍🏫🌾👩‍🔬📘

Publication Profile

Google Scholar

Education

With an extensive academic background, the individual began with a First Division (69.89%) in Natural and Social Sciences from Bihar School Examination Board in 1990. They continued excelling, securing First Division in I.Sc. Agriculture (66.60%) from UP Board in 1993. In 1997, they completed a B.Sc. in Agriculture from SSJMU Kanpur with 72.37%, focusing on Math, Statistics, Soil Conservation, and more. Earning an M.Sc. in Agricultural Chemistry and Soil Science from the University of Allahabad in 1999, they were a Gold Medalist (75.09%). In 2005, they completed a D.Phil. in Science, focusing on heavy metals and phytoremediation. 🌿📘🥇

Teaching Experience

Currently serving as a faculty member at Amity University Uttar Pradesh, Noida since February 2020, the individual previously taught at the University of Allahabad, Prayagraj (2003-2007). There, they educated MSc (Ag) students in subjects like Agricultural Chemistry, Plant Biochemistry, Soil Fertility, and Soil Microbiology 🌾📚. Over time, they have continued interacting with MSc and research scholars at the Sheila Dhar Institute of Soil Science. Currently, they teach courses including Fundamentals of Soil Science, Crop Ecology, Advances in Soil Fertility, and Agronomy of Kharif Crops to graduate and postgraduate students 🌱🎓. Their expertise shapes future agronomists and soil scientists.

Research focus

Chitranjan Kumar’s research primarily focuses on soil science, environmental restoration, and bioremediation. His work includes studying heavy metals in soil, their management, and environmental restoration through bioremediation techniques. He also explores microbial synthesis of nanoparticles, particularly gold, and the use of organic inputs and bacterial inoculations to improve soil health and crop production. His studies contribute to sustainable agriculture, focusing on soil detoxification and enhancing soil quality. This interdisciplinary research is vital for environmental conservation and agricultural productivity. 🌱🧬🧪🌍🍅

Publication Top Notes

Biotechnological advances in bioremediation of heavy metals contaminated ecosystems: an overview with special reference to phytoremediation

Production of Polyhydroxyalkanoates (PHAs) by Bacillus Strain Isolated from Waste Water and Its Biochemical CharacterizationIntegrated micro-biochemical approach for phytoremediation of cadmium and zinc contaminated soils

Integrated micro-biochemical approach for phytoremediation of cadmium and lead contaminated soils using Gladiolus grandiflorus L cut flower

Hyperaccumulator oilcake manure as an alternative for chelate-induced phytoremediation of heavy metals contaminated alluvial soils

Phytoaccumulation, Interaction, Toxicity and Remediation of Cadmium from Helianthus annuus L. (sunflower)

Conclusion

Dr. Sharma’s innovative research, extensive publications, and leadership in academia make him a strong contender for the Best Researcher Award.

 

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.

 

Bashir Olaniyi Sadiq | Smart Agriculture Award | Best Researcher Award

Assoc Prof Dr. Bashir Olaniyi Sadiq | Smart Agriculture Award | Best Researcher Award

Assoc Prof Dr. Bashir Olaniyi Sadiq, Kampala International University , Uganda

Assoc. Prof Dr. Bashir Olaniyi Sadiq currently serves as an Associate Professor and Director of ICT at Kampala International University, Uganda, starting in July 2024. He is also affiliated with the Department of Electrical, Telecommunication & Computer Engineering. His duties include conducting research using advanced equipment, curriculum review, and supervising students in fields like computer communications, IoT, image processing, and ad hoc networks. Additionally, he teaches both undergraduate and postgraduate students in various electrical and computer engineering courses.

Publication profile

Orcid

Academic Qualifications 

Dr. Bashir holds a PhD in Computer Engineering (2018) from Ahmadu Bello University Zaria, where he developed a routing protocol for light fidelity-based indoor flying ad hoc networks. He also holds a Master’s in Computer Engineering (2015) from the same university, where his thesis focused on improving edge detection algorithms using Particle Swarm Optimization. He earned his B. Eng in Electrical Engineering in 2011, with a project on TCP and UDP protocol service level analysis.

 

Professional Qualifications

Dr. Bashir has completed various certifications, including the ICT Application in Higher Education (2021) from the Ministry of Commerce, China, and the Huawei Certified Information Professional (HCIP) certification (2020) from Huawei Academy. Additionally, he has been recognized as a Huawei Certified Academy Instructor.

Awards

Dr. Bashir’s research contributions have been recognized with several awards, including the TETFUND Institution-based Research Grant (2019), where he was the Principal Researcher. He also received the Excellent Instructor Award from the Huawei ICT Academy in 2018 and the Petroleum Development Trust Fund (PTDF) Local PhD Scholarship Scheme in 2017.

Research Interests

His research interests include Computer Communications & Networks, Image Processing, Ad hoc Networks, and Computer Engineering Applications. His work focuses on developing and improving network protocols, edge detection algorithms, and integrating new technologies such as IoT into these systems.

Teaching Experience

Dr. Bashir has an extensive teaching portfolio, which includes courses like Advanced Data Analysis, Biomedical Signal and Image Processing, and Computational Modeling and Artificial Intelligence at Kampala International University. At Ahmadu Bello University Zaria, he taught a wide array of subjects, including Network Technology, Digital Signal Processing, and Operating Systems.

Honor Societies

He is a registered member of various prestigious engineering societies, including the Council for the Regulation of Engineers (COREN), the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Engineers (IAENG), and the Nigerian Society of Engineers.

Publication Top Notes

  • High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm systems (2024) 🐄📡| DOI: 10.1016/j.sciaf.2024.e02266
  • Maximizing network capacity, control, and management in designing a telemedicine network: A review and recent challenges (2024) 🏥💻 | DOI: 10.4314/njt.v43i1.11
  • Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification (2024) 🚗🛤 | DOI: 10.5815/ijigsp.2024.01.03
  • Review of Error Correction in 2D Shingled Magnetic Detection (2023) 📀🛠 | DOI: 10.11113/elektrika.v22n3.265
  • A Comparative Analysis of Symmetric Cryptographic Algorithm as a Data Security Tool: A Survey (2023) 🔐🖥 | | DOI: 10.5281/ZENODO.8313097
  • Energy-aware Message Distribution Algorithm for Enhanced FANET Pipeline Surveillance Reliability (2023) 🛰💡  | DOI: 10.1016/j.sciaf.2023.e01660
  • FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System (2023) 📷🛸 | | DOI: 10.59568/kjset-2023-2-1-02
  • Statistical LOS/NLOS Classification for UWB Channels (2023) 📡🔎 | Cited by: – | DOI: 10.59568/kjset-2023-2-1-05
  • An adaptive ant colony optimisation for improved lane detection in intelligent automobile vehicles (2022) 🚗🐜 | DOI: 10.1504/ijbic.2022.121225
  • SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm (2022) 🚁🐄 | DOI: 10.3390/drones7010017

Conclusion

Dr. Bashir Olaniyi Sadiq’s extensive research experience, academic qualifications, professional certifications, and teaching expertise make him a strong candidate for the Research for Best Researcher Award. His contributions to computer engineering, particularly in network protocols and image processing, as well as his awards and leadership roles, highlight his excellence in research and academia.

 

 

Geena Prasad | Precision Agriculture | Women Researcher Award

Dr Geena Prasad | Precision Agriculture |  Women Researcher Award

Assistant Professor at  Amrita Vishwa Vidyapeetham,  India

Dr. Geena Prasad Assistant Professor (Senior Grade), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India.

Profile:

Education:

  • Ph.D. in Environmental Engineering
    Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri Campus.
  • M.Tech in Technology Management
    University of Kerala (First Class with Distinction).
  • B.E. in Environmental Engineering
    P.E.S College of Engineering Mandya, Mysore University (First Class with Distinction).

Research Interests:

  • Water and wastewater treatment
  • Solid waste management
  • Phytoremediation of heavy metals & Persistent Organic Pollutants (POPs)
  • Bioremediation
  • Physico-chemical analysis of soil, water, and air
  • Geographical Information System (GIS) and Remote Sensing

Experience:

  • Amrita Vishwa Vidyapeetham (Amrita University)
    February 2011 – Present
    Assistant Professor (Senior Grade), Department of Mechanical Engineering.
    Responsibilities include teaching M.Tech, B.Tech, and M.Sc classes, managing lab sessions, preparing course materials, guiding projects, and coordinating green initiatives on campus.
  • Centre for Environment and Development (CED)
    February 2010 – February 2011
    Environmental Engineer.
    Prepared environmental sustainability reports and manuals for solid waste management, developed strategies for wastewater and solid waste management.
  • Project Implementation Unit, Kerala Sustainable Urban Development Project (KSUDP)
    July 2007 – February 2010
    Technical Officer (Environment).
    Worked on detailed project reports, designed leachate treatment plants, prepared bid documents, and coordinated various environmental initiatives.
  • Tokyo Engineering Consultants (TEC)
    December 2003 – March 2005
    Junior Engineer.
    Designed and supervised water supply schemes and environmental impact assessments for urban and rural areas.
  • Centre for Earth Science Studies (CESS)
    April 2003 – September 2003
    Project Fellow.
    Conducted data collection and environmental impact assessments for industrial projects.
  • Amrita Institute of Medical Sciences and Research Centre (AIMS)
    October 2001 – February 2003
    Environmental Engineer.
    Designed and implemented water and effluent treatment plants, supervised plant operations, and managed biomedical waste.

Citations:

  • Total Citations: 208
  • Citations Since 2019: 207
  • h-index: 8
  • h-index Since 2019: 8
  • i10-index: 6
  • i10-index Since 2019: 6

Publication Top Notes:

  • “Spatio-temporal analysis of land use/land cover changes in an ecologically fragile area—Alappuzha District, Southern Kerala, India”
    • G Prasad, MV Ramesh
    • Journal: Natural Resources Research
    • Volume: 28
    • Pages: 31-42
    • Citations: 75
    • Year: 2019
  • “Delineation of ground water potential zones using GIS and remote sensing–A case study from midland region of Vamanapuram river basin, Kerala, India”
    • G Prasad, SE John
    • Journal: AIP Conference Proceedings
    • Volume: 1952 (1)
    • Citations: 17
    • Year: 2018
  • “Intelligent energy meter with home automation”
    • RT Mathew, S Thattat, KV Anirudh, VPK Adithya, G Prasad
    • Conference: 2018 3rd International Conference for Convergence in Technology (I2CT)
    • Pages: 1-4
    • Citations: 14
    • Year: 2018
  • “Land use pattern as an indicator of sustainability: a case study”
    • G Prasad, R Rajesh, K Arun
    • Conference: 10th Annual International Conference on Industrial Engineering and …
    • Citations: 13
    • Year: 2020
  • “Assessment of drinking water quality on public health at Alappuzha district, southern Kerala, India”
    • G Prasad, AS Reshma, MV Ramesh
    • Journal: Materials Today: Proceedings
    • Volume: 46
    • Pages: 3030-3036
    • Citations: 11
    • Year: 2021
  • “Analysis of air pollution in three cities of Kerala by using air quality index”
    • SN Jyothi, K Kartha, A Mohan, J Pai, G Prasad
    • Journal: Journal of Physics: Conference Series
    • Volume: 1362 (1)
    • Article: 012110
    • Citations: 11
    • Year: 2019
  • “An overview of natural organic matter”
    • G Prasad, JY Kentilitisca, MV Ramesh, N Suresh
    • Conference: ICDSMLA 2019: Proceedings of the 1st International Conference on Data …
    • Citations: 9
    • Year: 2020
  • “Automated gas pollution detection system”
    • S Ajith, B Harivishnu, TK Vinesh, S Sooraj, G Prasad
    • Conference: 2017 2nd International Conference for Convergence in Technology (I2CT)
    • Pages: 483-486
    • Citations: 9
    • Year: 2017
  • “Geogenic and anthropogenic contamination of groundwater in a fragile eco-friendly region of southern Kerala, India”
    • G Prasad, H Mamane, MV Ramesh
    • Institution: Estonian University of Life Sciences
    • Citations: 8
    • Year: 2022
  • “Portable and efficient graphene-oxide based multistage filtration unit for water purification”
    • P Akshay, S Shreekanth, R Rajesh, G Prasad
    • Journal: Materials Today: Proceedings
    • Volume: 26
    • Pages: 2344-2350
    • Citations: 7
    • Year: 2020
  • “Trace metal analysis of pre-flood and post-flood drinking water at Alappuzha District, Southern Kerala, India”
    • G Prasad, GM Thomas, MV Ramesh
    • Journal: Materials Today: Proceedings
    • Volume: 46
    • Pages: 2911-2918
    • Citations: 6
    • Year: 2021
  • “Understanding the impact of microplastic contamination on soil quality and eco-toxicological risks in horticulture: A comprehensive review”
    • NP Gayathri, G Prasad, V Prabhakaran, V Priya
    • Journal: Case Studies in Chemical and Environmental Engineering
    • Volume: 9
    • Article: 100633
    • Citations: 5
    • Year: 2024

 

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