Mr. Georgios Zalidis | Precision Farming | Research Excellence Award

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Mr. Georgios Zalidis | Precision Farming | Research Excellence Award

Professor Emeritus | Aristotle University of Thessaloniki | Grenada

George Zalidis is a Professor at the School of Agriculture, Thessaloniki, Greece, specializing in soil science, environmental management, and sustainable agriculture. He holds advanced degrees in agronomy and soil science, with academic training focused on land resources and environmental systems. With extensive professional experience, he has led interdisciplinary research projects, contributed to policy-relevant environmental assessments, and collaborated widely in international scientific networks. His research focuses on soil organic carbon dynamics, geospatial analysis, remote sensing applications, climate-smart agriculture, and land degradation, reflected in over 130 publications with significant citation impact. He has contributed to advancing AI-based soil monitoring and sustainable land-use practices. Professor Zalidis has received recognition for his scientific contributions, serves in editorial and advisory roles, and is an active member of prominent environmental and agricultural research organizations.

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Fida Haq | Precision Farming | Research Excellence Award

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Mr. Fida Haq | Precision Farming | Research Excellence Award

Adorsho PraniSheba Ltd | Bangladesh

Fida Haq is the Co-founder and CEO of adorsho praniSheba, leading research and development in precision livestock farming with expertise in cattle health monitoring, dairy systems, and digital agriculture. He holds academic training in animal science and agricultural technologies, with specialization in integrating artificial intelligence, IoT, and cloud-based systems for livestock management. With extensive professional experience, he has led innovative projects on smart cattle monitoring, estrus detection, and digital veterinary services, demonstrating strong leadership in advancing technology-driven farming solutions. His research focuses on sustainable animal production, ruminant nutrition, sensor technologies, and AI-enabled livestock systems, reflected in multiple peer-reviewed publications and conference contributions. He has received recognition through scholarly citations, international research collaborations, and active participation in interdisciplinary research networks, contributing significantly to modernizing livestock production systems.

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Marzena Banach | Sustainable Agriculture | Research Excellence Award

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Assist. Prof. Dr. Marzena Banach | Sustainable Agriculture | Research Excellence Award

Assistant Professor | Poznan University of Technology | Poland

Dr. Marzena Banach is a researcher specializing in smart city technologies, environmental monitoring systems, and hardware-efficient artificial intelligence. Her research focuses on intelligent air-pollution sensing, remote sensing analytics, low-power embedded systems, and AI-driven environmental prediction models, with emerging interests in sustainable urban infrastructure and smart architectural solutions. She has held key research roles in multidisciplinary projects addressing smart cities, intelligent transportation systems, and environmental data acquisition, contributing extensively to both academic and applied research initiatives. Dr. Banach’s major contributions include the development of hardware-optimized sensor architectures, novel neural-network training schemes for air-quality prediction, and high-resolution pollution mapping frameworks deployed in dense urban environments. Her work has advanced real-time environmental monitoring, informed sustainable urban planning, and strengthened data-driven decision-making in smart city ecosystems. Through her research, she aims to bridge intelligent electronics, environmental sustainability, and urban innovation to support resilient, technology-enabled cities worldwide.

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Idan Kopler | Precision Livestock Farming | Research Excellence Award

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Dr. Idan Kopler | Precision Livestock Farming | Research Excellence Award

Project manager | MIGAL Galilee Research Institute Ltd  | Israel

Idan Kopler is an interdisciplinary environmental researcher specializing in ecosystem ecology, hydrology, climate–vegetation interactions, and data-driven agri-environmental systems. His research focus centers on understanding how temperature, drought, and soil moisture regulate ecosystem processes across forested and managed landscapes, with emerging interests in the socio-environmental dimensions of precision livestock farming and technology adoption. Kopler has held research-oriented academic roles, contributing to cross-sector collaborations that bridge ecological science with applied agricultural systems. His key contributions include advancing empirical evidence on growth-limiting climatic drivers at montane treelines, quantifying soil–vegetation–water interactions in Mediterranean forests, and evaluating farmer perceptions of benefits and risks associated with precision livestock farming technologies in the European context. Through integrative field measurements, modeling, and stakeholder-focused analyses, his work supports evidence-based decision-making. Kopler’s impact vision is to strengthen climate-resilient land and livestock systems by aligning ecological insight with practical innovation, informing sustainable management, policy dialogue, and responsible technological adoption across diverse environments.

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Syamlal Sasi | Sustainable Agriculture | Research Excellence Award 

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Mr. Syamlal Sasi | Sustainable Agriculture | Research Excellence Award 

PhD Student | Australian National University | Australia

Syamlal Sasi is a researcher and technology innovator specializing in aquaculture, agri-tech solutions, plasma technology, IoT-integrated farming systems, and sustainable agriculture, widely recognized for advancing modern farming practices through science-driven innovations. His research focus centers on applying cold atmospheric plasma for agricultural and aquaculture enhancement, hydroponic productivity improvement, and resource-efficient cultivation, alongside emerging interests in space-agriculture, nutrient-enriched water generation using extraterrestrial regolith, nano/micro-bubble systems, and plasma–plant metabolite synergy. Over the years, he has contributed significantly to the integration of advanced engineering with crop and aquaculture ecosystems, exploring next-generation farming tools aimed at scalability and climate resilience. Professionally, he has served in impactful leadership and R&D roles, including Director of Business and Product Research at BudMore PTY Ltd., Canberra, Australia, where he leads technology development for smart-farming platforms and commercial agri-solutions, and previously as CEO at Sygul Technologies Pvt. Ltd., Kochi, India, guiding product innovation and agricultural technology deployment. Earlier, he contributed in data and business technology domains at Cognizant, India, building a foundation for data-driven agri-intelligence systems that later shaped his research initiatives. His key contributions include the development of plasma-assisted aquaponics and hydroponics systems, research demonstrating enhanced plant growth on simulated Martian regolith through water chemistry optimization, and investigations into RONS-enhanced nutrient delivery using plasma-enabled irrigation, which have opened new perspectives in extraterrestrial farming possibilities. He has also explored antimicrobial enhancement through plasma-secondary metabolite interactions, presenting new pathways for reducing chemical usage in crop disease management. His work has produced influential publications across journals such as Chemical Engineering Journal Advances, International Journal of Molecular Sciences, Molecules, and Trends in Biotechnology, collectively strengthening scientific understanding of plasma-for-agriculture interfaces. Several of his studies contribute directly to circular bio-production and food security models, positioning his work as a foundation for future agri-technology transitions. Through his role in research and startup technology development, Syamlal has contributed to smart-farming digitization, remote monitoring systems, and AI-based aquaculture productivity enhancement, supported by grants including the Productization Grant 2022–23 (Kerala Startup Mission) and the Smart Farming to Improve Aquaculture Productivity RKVY-RAFTAAR Grant. His continued mission is to bridge agricultural science with scalable technology, fostering sustainable aquaculture systems, low-resource food production, and climate-adaptive cultivation solutions. With a strong commitment to innovation-driven agriculture, he envisions transforming farming into a tech-empowered, environmentally harmonious sector, enabling farmers to enhance yield with reduced input cost, expanding productivity through precision management tools, and exploring space-based cultivation for future food security. His work ultimately strives to the impact global agriculture by integrating plasma science, IoT frameworks, and smart agro-industries, shaping a future where technology amplifies natural growth potential while securing food sustainability for earth and beyond.

Profile: ORCID

Featured Publications 

1. Sasi, S., Prakash, P., Poiré, R., Hu, T., Weerasinghe, J., Levchenko, I., Prasad, K., & Alexander, K. (2025). Can cold atmospheric plasma make water enriched with minerals from Martian or Lunar regolith more suitable for hydroponic plant growth? Chemical Engineering Journal Advances, 100904. https://doi.org/10.1016/j.ceja.2025.100904

2. Sasi, S., Prakash, P., Hayden, S., Dooley, D., Poiré, R., Hu, T., Weerasinghe, J., Levchenko, I., Prasad, K., & Alexander, K. (2025). Enhanced plant growth on simulated Martian regolith via water chemistry optimisation: The role of RONS and nano/micro-bubbles. International Journal of Molecular Sciences, 26, 78318. https://doi.org/10.3390/ijms26178318

3. Prasad, K., Sasi, S., Weerasinghe, J., Levchenko, I., & Bazaka, K. (2023). Enhanced antimicrobial activity through synergistic effects of cold atmospheric plasma and plant secondary metabolites: Opportunities and challenges. Molecules, 28, 27481. https://doi.org/10.3390/molecules28227481

4. Sasi, S., Prasad, K., Weerasinghe, J., Bazaka, O., Ivanova, E. P., Levchenko, I., & Bazaka, K. (2023). Plasma for aquaponics. Trends in Biotechnology, 41(1), 54–69. https://doi.org/10.1016/j.tibtech.2022.08.001

Muhammad Faheem | Robotics in Agriculture | Editorial Board Member

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Dr. Muhammad Faheem | Robotics in Agriculture | Editorial Board Member

Assistant Professor | University of Agriculture | Pakistan

Dr. Muhammad Faheem is a distinguished researcher specializing in Agricultural Mechanization, Robotics in Agriculture, Intelligent Automation, and Control Engineering, with a strong body of work advancing smart and sustainable farming technologies. His research focuses on developing autonomous systems, machine-vision tools, and sensor-based intelligent solutions that enhance precision agriculture, optimize resource efficiency, and improve post-harvest handling processes, with emerging interests in deep-learning applications, multisensory navigation, and automated crop-quality assessment. With key academic appointments, including his role as Assistant Professor at the University of Agriculture Faisalabad and research affiliation with Jiangsu University, China, he has contributed extensively to engineering innovative systems for real-time agricultural problem-solving. Dr. Faheem’s major contributions include pioneering CNN-based defect detection frameworks for photovoltaic cells, intelligent sensor-guided variable-rate spraying systems, and advanced autonomous navigation technologies for multi-crop field environments; he has also significantly advanced post-harvest robotics through novel vibration-reduction mechanisms and fruit-handling models, in addition to impactful work on sustainable technologies such as smart composting, biogas systems, and solar thermal collectors. His research has influenced diverse areas including climate-responsive agricultural management, disease-detection systems using deep learning, and high-precision fruit-picking robotics—contributions reflected in widely cited publications across leading journals in energy engineering, environmental sciences, precision agriculture, and smart automation. Dr. Faheem’s impact vision centers on accelerating the global transition toward intelligent, autonomous, and environmentally responsible farming systems by integrating robotics, machine learning, and sensor fusion into practical agricultural operations. Through his interdisciplinary work, he aims to contribute to resilient food production, reduced environmental footprints, and enhanced technological adoption in agriculture worldwide, ensuring that innovations in automation and sustainability directly benefit farmers, industry stakeholders, and the broader scientific community.

Profile: Google Scholar 

Featured Publications 

1. Akram, M. W., Li, G., Jin, Y., Chen, X., Zhu, C., Zhao, X., Khaliq, A., Faheem, M., et al. (2019). CNN-based automatic detection of photovoltaic cell defects in electroluminescence images. Energy, 189, 116319.

2. Abbas, I., Liu, J., Faheem, M., Noor, R. S., Shaikh, S. A., Solangi, K. A., & Raza, S. M. (2020). Different sensor-based intelligent spraying systems in agriculture. Sensors and Actuators A: Physical, 316, 112265.

3. Xie, B., Jin, Y., Faheem, M., Gao, W., Liu, J., Jiang, H., Cai, L., & Li, Y. (2023). Research progress of autonomous navigation technology for multi-agricultural scenes. Computers and Electronics in Agriculture, 211, 107963.

4. Javed, T., Afzal, I., Shabbir, R., Ikram, K., Zaheer, M. S., Faheem, M., Ali, H. H., et al. (2022). Seed coating technology: An innovative and sustainable approach for improving seed quality and crop performance. Journal of the Saudi Society of Agricultural Sciences, 21(8), 536–545.

5. Ajmal, M., Shi, A., Awais, M., Mengqi, Z., Zihao, X., Shabbir, A., Faheem, M., et al. (2021). Ultra-high temperature aerobic fermentation pretreatment composting: Parameters optimization, mechanisms and compost quality assessment. Journal of Environmental Chemical Engineering, 9(4), 105453.

 

Milen Chanev | GIS in organic farming | Best Researcher Award

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Assist. Prof. Dr. Milen Chanev | GIS in Organic Farming | Best Researcher Award

Assistant Professor | Space Research and Technology Institute | Bulgaria

Dr. Milen Chanev is a Chief Assistant Professor at the Space Research and Technology Institute of the Bulgarian Academy of Sciences, where he leads innovative research at the intersection of remote sensing and sustainable agriculture. He holds a master’s degree in organic farming and a PhD in Earth remote sensing, specializing in the use of satellite data for monitoring and predicting yields in organic cereal systems. His research focuses on applying Sentinel-1 and Sentinel-2 data, UAV platforms, and advanced geospatial analytics to optimize crop monitoring, enhance yield forecasting, and support precision organic farming. He has previously contributed as an Assistant Professor at the Institute of Agriculture in Karnobat under the Agricultural Academy of Bulgaria, where he advanced interdisciplinary research in agro-technologies. Over the course of his career, Dr. Chanev has produced impactful studies on organic barley, einkorn, and wheat, pioneering the use of satellite-derived vegetation indices and SAR-optical data fusion for crop development assessment. His contributions include methodological advancements for organic wheat crop monitoring, innovative use of UAV data for evaluating crop heterogeneity, and remote sensing approaches for evapotranspiration estimation and water productivity analyses. He has co-authored work on global biomass change mapping and has contributed to Springer and Elsevier publications, demonstrating both scientific depth and international relevance. His achievements have been recognized with multiple awards for best presentation by young scientists, including honors from the Sixteenth International Scientific Conference “Space, Ecology, Safety” in 2020 and the Seventh International Conference on Ecological Engineering and Environment Protection in 2021. Dr. Chanev is actively involved in scientific dissemination through peer-review roles, workshop participation, and membership in professional research communities. He contributes to academic dialogue through proceedings, international collaborations such as the Dragon-5 program, and workshops related to the EU Copernicus Programme. His vision centers on leveraging satellite and UAV technologies to promote resilient, climate-smart, and resource-efficient agricultural systems. By integrating Earth observation data into practical frameworks, his work supports sustainable food production, environmental monitoring, and policy development in precision agriculture and land management. He has 40 citations from 13 publications, with an h-index of 3.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Chanev, M., Kamenova, I., Dimitrov, P., & Filchev, L. (2025). Evaluation of Sentinel-2 Deep Resolution 3.0 data for winter crop identification and organic barley yield prediction. Remote Sensing, 17(6), 957. https://doi.org/10.3390/rs17060957

2. Chanev, M., & Dimitrov, Z. (2025). Study the applicability of Sentinel-2 optical data, as well as benefits from the Sentinel-1 SAR data, for predicting the yield of organic barley. Aerospace Research in Bulgaria, 37, 82–92. https://doi.org/10.3897/arb.v37.e08

3. Filchev, L., Chanev, M., & Petrov, G. (2025). Earth observation for comprehensive soil health assessment and monitoring. Revue Internationale de Géomatique, 34(1), 513–533. https://doi.org/10.32604/rig.2025.064280

Chrispin Kaphaika | Agri-food systems and innovation | Young Researcher Award

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Chrispin Kaphaika | Agri-food systems and innovation | Young Researcher Award

Chrispin Kaphaika | Agri-food systems and innovation - Research and Innovation Specialist/Technology Transfer Officer at Lilongwe University of Agriculture and Natural Resources, Malawi

Chrispin K. Kaphaika is an intellectual property management specialist and innovation advocate with deep expertise in technology transfer, agribusiness entrepreneurship, and research commercialization. With an interdisciplinary academic background and a strong orientation toward inclusive development, Chrispin supports enterprise growth, innovation-driven policies, and sustainable commercialization strategies. Their professional focus integrates agribusiness economics, startup support, and IP policy reform. Chrispin thrives in multicultural research and institutional settings, consistently driving impact through capacity building, policy engagement, and cross-sector collaboration aimed at fostering inclusive economic transformation in Malawi and beyond.

ACADEMIC PROFILE

ORCID

EDUCATION

Chrispin holds a PhD candidacy in Agribusiness Management and Entrepreneurship at LUANAR, and a Master's in Intellectual Property from Africa University. They also completed an MSc in Agricultural and Applied Economics at LUANAR, with a specialization in climate economics through a joint program with NMBU. Chrispin’s academic journey began with a BSc in Agricultural Economics at LUANAR. This multidisciplinary education equipped them with solid analytical, economic, and legal knowledge, enabling a unique perspective in areas like technology commercialization, innovation policy, and startup support across agriculture and allied industries.

PROFESSIONAL EXPERIENCE

Chrispin’s experience spans roles at LUANAR, University of Cape Town, CIIER, UNICEF, and various consulting projects. They currently serve as Technology Transfer Specialist at LUANAR and Co-Director at CIIER Consult. They have led national research initiatives, coordinated innovation projects, and managed IP portfolios. Their practical contributions include supporting university TTO functions, drafting commercialization agreements, and facilitating stakeholder engagement. With years of experience in research assistance and tutoring, they continue to build networks and support systems that drive institutional innovation and entrepreneurial success across multiple sectors.

RESEARCH INTEREST

Chrispin’s research interests lie at the intersection of intellectual property rights, agribusiness development, and sustainable innovation systems. They explore how IP and commercialization mechanisms can foster entrepreneurship, particularly in agriculture and food systems. Their focus extends to climate economics, policy impact evaluation, seed system adoption, and biofortified crop technologies. They are deeply engaged in assessing innovation ecosystems and contributing to frameworks that enable equitable access to knowledge, increase technology adoption, and support inclusive economic empowerment through research-led enterprise development.

AWARD AND HONOR

Chrispin has received several accolades recognizing their leadership and research excellence. These include the Research Award for Outstanding Contribution, Best Graduate and Best Student Awards in Intellectual Property Studies, and multiple Leadership Awards. These honors reflect their commitment to academic excellence, impactful research, and contributions to institutional and national innovation ecosystems. Their accolades are a testament to their consistent pursuit of high standards in both scholarly and professional capacities, particularly in shaping the future of IP and innovation in agriculture and beyond.

RESEARCH SKILL

Chrispin is highly skilled in technology transfer, IP policy design, commercialization strategies, and innovation management. They are proficient in patent search and drafting, market analysis, IP valuation, contract negotiation, and institutional policy development. With experience conducting field research, facilitating focus groups, and managing research ethics, they effectively bridge research and practice. Their ability to communicate technical concepts to diverse stakeholders and mentor early-career innovators underlines their capacity to lead innovation platforms and enhance institutional research translation across academic and entrepreneurial domains.

PUBLICATIONS

Chrispin’s publications reflect their research interest in seed systems, agricultural innovation, and pro-nutritional technology adoption. Notable works include: "More Interventions, Low Adoption: To What Extent Are the Existing Seed Sources to Blame?" and "Does the Adoption of Pro-nutritional Technologies Spur Farmers’ Yields? Evidence from Biofortified Orange-Fleshed Sweet Potato in Rural Malawi." These contributions underscore their commitment to evidence-based policy reform and inclusive innovation. Their research is informed by practical field experience and aims to generate insights that support transformative agricultural development.

CONCLUSION

Chrispin K. Kaphaika exemplifies leadership in research commercialization and intellectual property management with a passion for agribusiness transformation and institutional innovation. Their trajectory reflects a rare blend of academic depth, professional engagement, and policy insight. With a vision anchored in inclusive development, Chrispin continues to contribute to building ecosystems that empower communities, elevate startups, and promote knowledge-driven economies. Their career is a model of how multidisciplinary expertise and dedication to equity can drive meaningful change across education, research, and enterprise.

Dr. Jinzhu Lu – Artificial Intelligence – Best Researcher Award

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Dr. Jinzhu Lu - Artificial Intelligence in Agriculture - Best Researcher Award

Xihua University - China

AUTHOR PROFILE

Scopus

ORCID

SUMMARY

Dr. Jinzhu Lu is a dedicated scholar in Agricultural Engineering, specializing in agricultural robotics, non-destructive testing, and precision equipment for crops like potatoes and tea. She serves as Associate Professor and lab head at Xihua University, leading innovative agricultural automation projects. Her academic exposure includes a doctorate from Zhejiang University and a visiting term at the University of Florida. With an impactful record of publications, awards, and professional contributions, Dr. Jinzhu Lu represents a blend of research excellence and applied technological innovation in modern agriculture.

EDUCATION

Dr. Jinzhu Lu earned her Doctor of Engineering in Agricultural Engineering from Zhejiang University, focusing her thesis on spectral imaging for leaf disease detection. She was mentored by Prof. Huanyu Jiang and Dr. Reza Ehsani. Additionally, she pursued academic exchange as a visiting student at the University of Florida under the China Study Abroad Council. Her foundational training includes a Bachelor’s degree in Agricultural Electrification and Automation, setting the stage for her specialization in robotics and sensor-based agricultural systems.

PROFESSIONAL EXPERIENCE

Since January 2019, Dr. Jinzhu Lu has served as Associate Professor and head of the Agricultural Robot Laboratory at Xihua University’s School of Mechanical Engineering. Previously, She was a lecturer in the same institution. She also undertook a visiting scholar position at the University of Aberdeen in 2024. Her leadership has been pivotal in guiding student innovation, contributing significantly to national and international competitions. Her involvement in various research and academic committees reflects her active engagement in the broader agricultural engineering community.

RESEARCH INTEREST

Dr. Lu’s research focuses on agricultural robotics, non-destructive testing, and precision agriculture. She is particularly interested in machine vision applications for tea bud detection, disease identification, and robotic operations in orchards and tea gardens. Her work integrates sensor technology, artificial intelligence, and automation to enhance crop monitoring and productivity. She has recently led projects on hyperspectral imaging for fruit phenotyping and precision seeding in potatoes, showcasing her ability to merge practical field challenges with advanced technological solutions.

AWARD AND HONOR

Dr. Jinzhu Lu received the Best Paper Award from Agriculture Journal in 2021 and her students have achieved top ranks in national robotics and innovation competitions. These include CSAE 2023, CRAIC 2023, and various agricultural equipment design contests from 2018 to 2022. She was recognized as a young scientific talent by Sichuan Province and holds a senior membership in the Chinese Society of Agricultural Engineering. Her editorial contributions to peer-reviewed journals further reflect her standing in the scientific community.

RESEARCH SKILL

Dr. Jinzhu Lu possesses strong expertise in machine vision, hyperspectral imaging, deep learning, and robotics for agricultural applications. She designs and implements intelligent systems for crop inspection, disease classification, and harvesting precision. Her technical acumen includes using YOLO models, convolutional neural networks, and spectral analysis. With experience in prototyping, sensor integration, and AI algorithm deployment, she bridges engineering and agriculture effectively. Her laboratory leadership has advanced hands-on experimentation and field-ready agricultural automation systems.

PUBLICATIONS

Dr. Jinzhu Lu has authored numerous influential research papers in top journals such as Agriculture, Computers and Electronics in Agriculture, and Frontiers in Plant Science. Her works cover topics like hyperspectral phenotyping, tea bud detection using YOLO algorithms, and nondestructive ripeness assessment in citrus. Notably, she has co-developed several patents and submitted further applications, reinforcing the applied nature of her research. Her studies often include interdisciplinary collaborations and have gained relevance across plant science, AI, and engineering domains.

  • Title: Phenotyping of navel orange based on hyperspectral imaging technology
    Author(s): Qi Wang, Jinzhu Lu, Yuanhong Wang, Kaiqian Peng, Zongmei Gao
    Journal: Computers and Electronics in Agriculture

  • Title: In situ nondestructive identification of citrus fruit ripeness via hyperspectral imaging technology
    Author(s): Qi Wang, Jinzhu Lu, Yuanhong Wang, Fajun Miao, Senping Liu, Qiyang Shui, Junfeng Gao, Yingwang Gao
    Journal: Plant Methods

  • Title: A method of identification and localization of tea buds based on lightweight improved YOLOV5
    Author(s): Yuanhong Wang, Jinzhu Lu, Qi Wang, Zongmei Gao
    Journal: Frontiers in Plant Science

  • Title: Research on Device and Sensing Technology for Precision Seeding of Potato
    Author(s): Jinzhu Lu, Senping Liu, Qi Wang, Min Liao
    Journal: Agriculture

CONCLUSION

Dr. Jinzhu Lu stands out as an innovative researcher whose work bridges technology and agricultural sciences. Her contributions to robotics, plant imaging, and AI-driven diagnostics have advanced both academic inquiry and practical farming solutions. With a clear vision for intelligent agriculture and a strong track record of mentorship, patents, and publications, she is shaping the future of smart farming. Her ongoing engagements and recognitions affirm her leadership and continued potential in agricultural engineering research and innovation.