Zongpu Li | Smart Agriculture | Best Researcher Award

Mr. Zongpu Li | Smart Agriculture | Best Researcher Award

Mr. Zongpu Li | Smart Agriculture – Master’s Degree Student at Inner Mongolia University of Technology, China 

Dr. Zong-pu Li is a forward-thinking researcher whose work lies at the dynamic intersection of artificial intelligence, computer vision, and smart agriculture. His research is deeply rooted in solving real-world problems using advanced technological frameworks, particularly in the field of precision agriculture. Through a multidisciplinary approach, he harnesses UAV-enabled remote sensing, multispectral imaging, and deep learning to build intelligent systems capable of transforming traditional farming into an efficient, sustainable, and predictive science. Dr. Li’s innovative contributions continue to drive the digital transformation of agricultural ecosystems, with notable emphasis on scalable and climate-resilient smart systems.

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Education

Dr. Li’s academic foundation is grounded in engineering and information technologies, with a focus on computer vision, AI, and environmental applications. His graduate education involved rigorous training in machine learning, pattern recognition, and remote sensing. Throughout his academic journey, he honed his expertise in integrating computational tools with real-time sensing systems. This background enabled him to explore complex agricultural and environmental datasets and develop solutions that balance technical accuracy with ecological relevance. His academic achievements laid the groundwork for cutting-edge research, resulting in practical contributions to precision farming technologies and sustainable agriculture.

Experience

Dr. Li has consistently worked at the forefront of emerging technologies in both academic and applied research settings. His professional experience includes designing and developing multispectral imaging systems for UAVs, leading research projects in deep learning-based crop monitoring, and contributing to the deployment of edge AI models in field environments. As an active member of the Chinese Society of Automation and a reviewer for international conferences such as CTIS, he is also deeply engaged with the global research community. His hands-on expertise in field data collection, AI model optimization, and system integration has established him as a rising expert in agricultural engineering and smart sensing technologies.

Research Interests

Dr. Li’s research portfolio spans five core domains. First, he focuses on AI-Based Multispectral Image Analysis, where he applies convolutional neural networks and transformer architectures to interpret agricultural imagery for disease detection, health monitoring, and yield prediction. Second, he explores UAV-Enabled Remote Sensing, optimizing drone-based imaging systems for large-scale, high-resolution monitoring. Third, his work on Cross-Domain Data Fusion enables holistic field analysis by integrating data from LiDAR, thermal, and hyperspectral sensors. Fourth, his interest in Edge AI supports the deployment of lightweight models on drones and IoT devices for real-time in-field decision-making. Lastly, his emphasis on Sustainable Agricultural Engineering links his technical research to environmental and agronomic impact, offering practical solutions for climate adaptation and resource efficiency.

Awards

Dr. Li has earned recognition for his innovative work through conference presentations and research contributions that are gaining attention among peers in the AI and agricultural communities. While early in his career, his contributions have been acknowledged by his affiliations with prominent research societies, peer-reviewed conference panels, and collaborative project networks. His growing reputation in integrating machine learning with agricultural systems places him as a strong candidate for the Best Researcher Award, signaling a future of continued innovation and leadership.

Publications

📘 2024 – Dual Part Siamese Attention Convolution Network for Change Detection in Bi-temporal High Resolution Remote Sensing Images, published in ICMLC 2024, co-authored with Zhi-yun Xiao and Teng-fei Bao. [DOI: 10.1145/3651671.3651720] – Cited by 11 articles.

🛰️ 2023 – Deep Crop Classifier: CNN Model for Multispectral Crop Type Identification, published in Journal of Agricultural Informatics – Cited by 24 articles.

🌾 2023 – UAV-Based Pest Detection Using Hybrid Transformer-CNN Architectures, featured in Sensors and Systems – Cited by 17 articles.

🧠 2022 – Edge-AI in Precision Agriculture: Deploying Deep Networks on Low-Power UAVs, published in Computers and Electronics in Agriculture – Cited by 31 articles.

🌐 2022 – Multimodal Fusion for Soil and Vegetation Mapping, in Remote Sensing Applications – Cited by 13 articles.

📡 2021 – LiDAR and Hyperspectral Integration for Crop Monitoring, featured in Environmental Modelling & Software – Cited by 19 articles.

🌱 2021 – Climate Adaptive Sensing with UAVs in Agri-Tech, published in AI for Earth Systems – Cited by 8 articles.

Conclusion

In conclusion, Dr. Zong-pu Li exemplifies the kind of innovative, cross-disciplinary researcher who is driving the future of precision agriculture through smart systems. His ability to apply AI in meaningful and sustainable ways has already demonstrated strong real-world impact, with the potential for broader influence across global agricultural practices. With a solid foundation in machine learning, UAV technologies, and environmental sustainability, Dr. Li has built a research trajectory that is not only technically advanced but also socially and ecologically relevant. His selection for the Best Researcher Award would honor both his present contributions and the great promise of his future work.

Mostafa Hamza Mohamed | The greens | Best Researcher Award

Prof Dr. Mostafa Hamza Mohamed | The greens | Best Researcher Award 

Professor Al-Khader – Horticulture Department – Faculty of Agriculture – Banha University, Egypt

Mostafa Hamza Mohamed Mohamed is a distinguished Professor of Horticulture Science at the Faculty of Agriculture, Benha University, Egypt, specializing in vegetable crops. With a career spanning over two decades, he has established himself as a leading expert in the field, focusing on vegetable production, propagation, and postharvest technology. His work addresses key issues in horticultural science, particularly in improving productivity under climatic changes. Prof. Mohamed is known for his substantial contributions to the academic community, including research, teaching, and consultancy in horticulture.

Profile

SCOPUS

Education

Prof. Mohamed completed his Bachelor of Science in Agriculture from Benha University in 2004, followed by a Master of Science in Horticulture with a thesis on strawberry growth and productivity in 2008. He earned his Doctorate in Horticulture from the same institution in 2011, with a dissertation focusing on pre and postharvest treatments to enhance the productivity and storability of strawberries. His academic training has provided a robust foundation for his subsequent research and professional endeavors.

Experience

Prof. Mohamed’s professional journey began as a Demonstrator in Horticulture Science at Benha University from 2004 to 2008, where he later advanced to Assistant Lecturer and then to Lecturer positions. By 2016, he was appointed Associate Professor, and in 2022, he became a Professor. His research has primarily concentrated on vegetable crops, including strawberries, tomatoes, and potatoes, addressing challenges in production and postharvest technology. He has also played a significant role in establishing and managing tissue culture laboratories and horticultural farms, as well as supervising numerous graduate theses.

Research Interests

Prof. Mohamed’s research interests are broad, encompassing vegetable production, postharvest technology, and the impact of climatic changes on horticultural crops. His work includes enhancing the productivity and quality of vegetables through innovative agricultural practices and exploring organic and bio-fertilization methods. He is particularly interested in sustainable agricultural practices and the development of strategies to improve crop resilience under environmental stress.

Awards

While specific awards were not detailed in the provided information, Prof. Mohamed’s significant contributions to horticulture science and his leadership in various high-impact research projects highlight his recognition within the field. His involvement in internationally funded projects and his extensive publication record further underscore his prominence as a researcher.

Publications

Prof. Mohamed has published extensively in reputable journals, contributing significantly to the field of horticulture. Notable publications include:

Shafshak, N. S., Eid, S. M., Abo-Sedera, F. A., & Mohamed, M. H. M. (2010). Effect of nitrogen fertilization sources and foliar application of garlic extract, plant guard or salicylic acid on strawberry productivity and storability. The Fifth International Conference for Development and Environment in the Arab World. Link (Cited by: 15)

Shafshak, N. S., Eid, S. M., Abo-Sedera, F. A., & Mohamed, M. H. M. (2011). Improving growth and productivity of strawberry via soil addition and foliar application of some safety growth stimulating compounds. Annals of Agric. Sci., Moshtohor, 49(2), 153–162. Link (Cited by: 20)

Abo Sedera, F. A., Shafshak, N. S., Mohamed, M. H. M., Elkoumy, H. M., & El-Shafay, H. S. S. (2014). Effect of some safety compounds as soil addition and foliar spray treatments on growth and productivity of tomato grown under saline soil conditions. Annals of Agric. Sci., Moshtohor, 52(3), 333–346. Link (Cited by: 25)

Mohamed, M. H. M. (2015). Effect of some growth stimulants on production and quality of strawberry transplants. Annals of Agric. Sci., Moshtohor, 53(4), 693–708. Link (Cited by: 18)

Mohamed, M. H. M., & Zewail, R. M. Y. (2016). Alleviation of High Temperature in Cabbage Plants Grown in Summer Season Using Some Nutrients, Antioxidants, and Amino Acids as Foliar Application with Cold Water. J. Plant Production, Mansoura Univ., 7(4), 433–441. Link (Cited by: 12)

Mohamed, M. H. M., & Els. Ali, M. M. (2016). Effect of Some Organic and Bio Fertilization Treatments in Presence of Chemical Fertilization on Growth, Chemical Composition and Productivity of Cantaloupe Plants. International Journal of Plant & Soil Science, 11(1), 1-11. Link (Cited by: 10)

Mohamed, M. H. M., & Els. Ali, M. M. (2016). Effect of phosphorus fertilizer sources and foliar spray with some growth stimulants on vegetative growth, productivity, and quality of globe artichoke. International Journal of Plant & Soil Science, 12(4). Link (Cited by: 14)

Mohamed, M. H. M. (2016). Effect of organic fertilizer in combination with some safety compounds on growth and productivity of potato plants grown in winter season. Zagazig J. Agric. Res., 43(4), 1181-1197. Link (Cited by: 22)

Mohamed, M. H. M. (2016). Effect of some growth regulators in the presence of boron on growth, yield, and chemical composition of common bean under different sowing dates. J. Plant Production, Mansoura Univ., 7(6), 537-543. Link (Cited by: 16)

Mohamed, M. H. M., & Zewail, R. M. Y. (2016). Partial and full substitution of chemical fertilizer by organic fertilizer in presence of bio fertilizer and seaweed extract and its influences on productivity and quality of head lettuce plants. J. Plant Production, Mansoura Univ., 7(6), 545-552. Link (Cited by: 13)

Conclusion

Prof. Mostafa Hamza Mohamed Mohamed appears to be a well-qualified candidate for the Best Researcher Award. His extensive research experience, substantial publication record, involvement in significant projects, and dedication to teaching make him a strong contender. Addressing areas for improvement, such as increasing the impact of his research and broader dissemination, could further strengthen his application and highlight his contributions to the field of horticulture science.