Dinesh Sharma | Agriculture | Best Innovation Award

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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).

 

Amira Ibrahim | Crop Evolution | Best Researcher Award

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Assist Prof Dr Amira Ibrahim |  Crop Evolution |  Best Researcher Award

Faculty of Science Arish University at  Botany and Microbiology Department, Faculty of science, Arish University, Egypt

Dr. Amira Abdallah Ibrahim Ahmed is an Assistant Professor of Plant Genetics in the Botany Department at Arish University, Egypt. Born on July 7, 1985, in Aga, Dakahlia, she has dedicated her career to advancing research in plant genetics. As a single Muslim woman, Dr. Ahmed embraces her identity while contributing to the scientific community. Her work focuses on understanding the genetic basis of plant traits, which is crucial for agricultural improvement and sustainability.

Publication Profile

Education:

  1. B.Sc. in Botany-Chemistry (2006), Faculty of Science, Mansoura University.
  2. M.Sc. in Basic Science (Botany) – Genetics and Plant Cytology (2012), Faculty of Science, Mansoura University.
  3. Ph.D. in Basic Science (Botany) – Genetics and Plant Cytology (2018), Faculty of Science, Mansoura University.

Research Interests:

Dr. Amira specializes in plant genetics and cytology, with a particular focus on biocontrol agents, phytochemical analysis, molecular markers, plant stress responses, and crop improvement under environmental stresses.

Publication Top Notes

  1. Biochemical Characterization and Disease Control Efficacy of Pleurotus eryngii-Derived Chitosan
    An In Vivo Study against Monilinia laxa, the Causal Agent of Plum Brown Rot
    Published: 2024-09-17
    DOI: 10.3390/plants13182598
    Contributors: Ippolito Camele, Amira A. Mohamed, Amira A. Ibrahim, Hazem S. Elshafie
  2. Analysis of Genetic Diversity, Population Structure, and Phylogenetic Relationships of Rice (Oryza sativa L.) Cultivars Using Simple Sequence Repeat (SSR) Markers
    Published: 2024-06
    DOI: 10.1007/s10722-023-01789-0
    Contributors: Khaled F. M. Salem et al. (including Amira A. Ibrahim)
  3. Association Study Between Some Cultivated Species and Their Wild Relatives from Apiaceae, Asteraceae, and Brassicaceae Families Based on Molecular and DNA Barcoding in Egypt
    Published: 2024-03
    DOI: 10.1007/s10722-023-01681-x
    Contributors: Nerveen M. Essa, Amira A. Ibrahim, Magda I. Soliman
  4. Characterization and Comparative Genomic Analyses of Complete Chloroplast Genome on Trema orientalis L.
    Published: 2024-03
    DOI: 10.1007/s10722-023-01678-6
    Contributors: Amira A. Ibrahim et al.

 

Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award

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Mr Jianguo Wu |  Agricultural Intelligent Equipment | Best Researcher Award

Postgraduate at  Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, China

Jianguo Wu, a graduate student specializing in agricultural intelligent equipment, is currently affiliated with the Precision Pesticide Application Department at the Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences. Born on March 16, 1995, Jianguo began his master’s degree in Mechanical Engineering at the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University in September 2021. His academic journey led him to joint training at the Intelligent Equipment Research Center from June 2022 to June 2024, focusing on designing a spray boom height control system for sprayers.

 

Profile:

Educational Journey:

🎓 Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). 📚 Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024.

Professional Experience:

📝 Published two core papers in Chinese. 🌐 Published one JCR Q1 paper. 🏆 Holder of a Chinese invention patent and a computer software copyright.

Achievements:

  • 📈 H-index and Cumulative Impact Factor: 6.342.
  • 🏅 Received 4 awards and recognitions.
  • 👥 Active member of 40 professional bodies.

Jianguo Wu’s research and innovations significantly contribute to advancing agricultural intelligent equipment technology, making strides toward the future of autonomous farming. 🌾🔧

Research Focus in Agricultural Intelligent Equipment:

Jianguo Wu’s research focuses on advancing Agricultural Intelligent Equipment, particularly specializing in the precision and efficiency of pesticide application. His work, based at the Intelligent Equipment Research Center of the Beijing Academy of Agriculture and Forestry Sciences, centers on developing innovative systems for spray boom height control in agricultural sprayers. Through his expertise, Jianguo aims to enhance the automation and effectiveness of farming practices, contributing to sustainable agricultural solutions and improved crop yield management.

Publication:

Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat Agriculture, 2023-12-22 | Journal Article DOI: 10.3390/agriculture14010021