Prof. Dr. Bogdan Kulig | Crop Production | Innovative Research Award

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Prof. Dr. Bogdan Kulig | Crop Production | Innovative Research Award

Agricultural University in Krakow | Poland

Prof. Dr. Bogdan Kulig is a distinguished Professor of Agricultural Sciences at the University of Agriculture in Krakow, specializing in agronomy, crop production, and agroecology. His extensive research focuses on enhancing the productivity and sustainability of legume and oilseed crop cultivation, improving cereal production through precision agriculture, and applying deterministic and mathematical models to plant growth and development. He has authored over 200 scholarly works, including 151 peer-reviewed journal articles and 42 popular science publications, along with several academic textbooks. His research contributions have significantly advanced modern crop science, particularly in developing improved cultivation technologies for large- and small-seeded legumes and oilseed crops such as Abyssinian crambe, oilseed flax, and winter rapeseed. Prof. Kulig has also contributed to academic leadership through mentoring graduate and doctoral students and participating in numerous scientific and organizational committees. His scholarly impact is reflected in his citation metrics, with a Scopus h-index of 12 (464 citations from 41 documents) and a Google Scholar h-index of 17 (1,501 citations and 44 i10-index). His innovative research combining agronomic science and modeling approaches continues to shape sustainable agricultural practices and academic discourse in plant production systems.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Dacko, M., Oleksy, A., Synowiec, A., Klimek-Kopyra, A., Kulig, B., & Zając, T. (2023). Plant-architectural and environmental predictors of seed mass of winter oilseed rape in southern Poland based on the CART trees regression model. Industrial Crops and Products, 192, 1–8.

Kulig, B., Waga, J., Oleksy, A., Rapacz, M., Kołodziejczyk, M., Wężyk, P., Klimek-Kopyra, A., Witkowicz, R., Skoczowski, A., Podolska, G., & Grygierzec, W. (2023). Forecasting of hypoallergenic wheat productivity based on unmanned aerial vehicles remote sensing approach – Case study. Agriculture, 13, null.

Kulig, B., & Klimek-Kopyra, A. (2023). Sowing date and fertilization level are effective elements increasing soybean productivity in rainfall deficit conditions. Agriculture, 13, null.

Kulig, B., Oleksy, A., & Zając, T. (2010). Mathematical modeling of plant growth and development. University of Agriculture Press.

Kulig, B., Klimek-Kopyra, A., & Oleksy, A. (2020). Plant cultivation. University of Agriculture Press.

Dr. Fernanda Diaz | Complementary Agriculture | Best Researcher Award

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Dr. Fernanda Diaz | Complementary Agriculture | Best Researcher Award

Dr. Fernanda Diaz | University of Guanajuato | Mexico

Fernanda Díaz Sánchez is a dedicated researcher in agribusiness and natural resource management, focusing on sustainable agricultural systems, rural innovation, and agri-environmental development. With an academic background in agribusiness and a master’s in innovation for natural resource management, she integrates ecological, social, and economic perspectives to enhance rural productivity and biodiversity conservation. Her research emphasizes sustainable models for germplasm production, agricultural diversification, and conservation practices in semi-arid and rural regions of Mexico. Fernanda has made significant contributions to understanding the ecological and socioeconomic dimensions of agricultural resilience, with her work being recognized through awards and academic success stories that highlight her innovative approaches to rural development. Her studies have been published in reputable journals such as Agro-Disculgation and Agroproductivity, reflecting her commitment to advancing agricultural sustainability through interdisciplinary collaboration. Fernanda actively participates in national and international conferences, presenting research on agri-food competitiveness, rural business models, and ecosystem-based management strategies. Her scholarly impact continues to grow, with publications indexed in Scopus and Google Scholar, supported by citations that underline the relevance of her work in sustainable agriculture and agribusiness management. She currently holds an h-index of 3 on Scopus and 5 on Google Scholar, demonstrating early-career influence in her field.

Publication Profile

ORCID

Featured Publication 

Díaz Sánchez, F., Cadena Iñiguez, J., Ruiz Vera, V. M., Barrera Guzmán, L. A., Cadena Zamudio, J. D., & Silos Espino, H. (2024). Conservation and production of Opuntia spp. under a complementary agricultural scheme in the Mexican highlands. Agro-Disculgation, 4(5).

Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

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Mr. Zhiwei Tian | Agricutuiral Robotics | Best Researcher Award

Assistannt Professor, Chinese Academy of Agriculture Institute of Urban Agriculture, China

Mr. Zhiwei Tian is an Assistant Professor at the Intelligent Gardening Equipment Research Center, Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences. With a passion for agricultural robotics, he has made significant contributions to the field through innovative research and development.

Profile

Google Scholar

Education: 🎓

Zhiwei Tian holds a Bachelor’s degree from Sichuan Agricultural University (2013-2017) and a Master’s degree from the Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture and Rural Affairs (2017-2020). He is currently pursuing a Ph.D., which he started in 2021.

Experience: 📚

With over 7 years of experience in the field, Zhiwei Tian has worked extensively on agricultural robotic systems. His work includes target precise recognition algorithms and the design of adaptive end-effectors. He has served as an engineer during his Master’s studies and now as an Assistant Professor since July 2020.

Research Interests: 🔍

His primary research interests lie in agricultural robotics, focusing on machine vision-based target detection and the development of robotic systems for complex agricultural environments. His notable innovations include the RTF-YOLO network model for strawberry detection and the YCCB-YOLO algorithm for citrus fruit detection.

Awards: 🏆

Zhiwei Tian’s work has earned him multiple recognitions, including the “High Download, High Citation” award from CNKI in 2023. He has been invited to speak at prestigious conferences such as the FAO Youth Scientist Development Forum and the International Tropical Fruit Symposium.

Publications and Citations

“Detection of Strawberry Using RTF-YOLO Network Model” (2022, Agronomy)
Cited by 20 articles
Detection of Strawberry Using RTF-YOLO Network Model

“Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm” (2023, Applied Sciences)
Cited by 15 articles
Recognition of Young Citrus Fruits Using YCCB-YOLO Algorithm

“Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings” (2021, Agriculture)
Cited by 10 articles
Design and Application of a Four-Needle Mechanical Gripper for Transplanting Plug Seedlings