Bere Benjamin Bantchina, PhD
Company: Bursa Uludag University
Position: Postdoctoral Researcher
Expert Summary
Dr. Bantchina is a consultant and researcher specializing in precision agriculture. He is dedicated to enhancing water and fertilizer use efficiency through the integration of smart farming technologies. His academic pursuits focus on advancing this field by utilizing and developing innovative tools and techniques to sustain agriculture and conserve natural resources. Dr. Bantchina's research aims to generate scientific knowledge that translates into practical solutions for environmental challenges in agriculture, from local fields to global scales. He emphasizes collaboration, innovation, and mentorship, striving to promote cross-disciplinary scientific progress. By fostering partnerships and mentoring the next generation of scientists, Dr. Bantchina seeks to facilitate creative and resourceful applications of scientific principles, ultimately benefiting communities and advancing sustainable agricultural practices.
Publications
Peer-Reviewed Journals Articles
Bantchina, B. B., & Gündoğdu, K. S. (2024). Crop Type Classification using Sentinel 2A-Derived Normalized Difference Red Edge Index (NDRE) and Machine Learning Approach. Journal of Agricultural Faculty of Bursa Uludag University, 38(1), 89–105. https://doi.org/10.20479/bursauludagziraat.1402043
Bantchina, B. B., Gündoğdu, K. S., Arslan, S., Ulusoy, Y., Tekin, Y., Pantazi, X. E., Dolaptsis, K., Paraskevas, C., Tziotzios, G., Qaswar, M., & Mouazen, A. M. (2024). Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize. Soil Systems, 8(1), 19. https://doi.org/10.3390/soilsystems8010019
Dolaptsis, K., Pantazi, X. E., Paraskevas, C., Arslan, S., Tekin, Y., Bantchina, B. B., Ulusoy, Y., Gündoğdu, K. S., Qaswar, M., Bustan, D., & Mouazen, A. M. (2024). A Hybrid LSTM Approach for Irrigation Scheduling in Maize Crop. Agriculture, 14(2), 210. https://doi.org/10.3390/agriculture14020210
Bantchina, B. B., & Gündoğdu, K. S. (2022). Watershed Characteristics and Synthetic Unit Hydrographs Determination using Geographical Information Systems. Journal of Biological and Environmental Sciences (JBES), 15(45), 27–34.
Gündoğdu, K. S., & Bantchina, B. B. (2018). Parcel-based Evaluation of NDVI Values Distribution from Landsat Satellite Images. A Case Study of Uludağ University, Faculty of Agriculture Farm. Journal of Agricultural Faculty of Bursa Uludag University, 32(2), 45–53.
International Peer-Reviewed Conference Contributions
Arslan, S., Bantchina, B. B., Taşdelen M. K., Salı, N., Tekin Y., & Mouazen, A. M. (2023). Water Distribution Uniformity of Nozzles for a Hose Reel Irrigation Machine. In Proceedings of 5th International Congress on Agricultural Mechanization and Energy in Agriculture, Abstract Book, p51, October 29 – November 1, 2023, Antalya, Turkey.
Bantchina, B. B., Mucan, U., & Gündoğdu, K. S. (2017). Land availability analysis in Bursa using Geographic Information Systems. In Proceedings Book, Proceedings of 5th International Participation Soil and Water Resources Congress, Kırklareli, Turkey, 12–15 September 2017; Atatürk Soil Water and Agricultural Meteorology Research Institute Kırklareli Merkez, Turkey, 2017; Volume 1, pp. 65–74.
Research Papers Submitted
Bantchina, B. B., Qaswar, M., Arslan, S., Ulusoy, Y., Gündoğdu, K. S., Tekin, Y., & Mouazen, A. M. (in moderate revision). Corn Yield Prediction in Site-Specific Management Zones Using Proximal Soil Sensing, Remote Sensing, and Machine Learning Approach. Computers and Electronics in Agriculture. Preprint. https://dx.doi.org/10.2139/ssrn.4705397
Bantchina, B. B., & Gündoğdu, K. S. (in minor revision). Machine Learning-Based Crop Type Classification at Parcel Level Using Sentinel 2A-Derived Spectral Indices. Journal of Applied Remote Sensing.
Tekin, Y., Arslan, S., Bantchina, B. B., Ulusoy, Y., Gündoğdu, K. S., Steiger, A., Bill, R., Grenzdörffer, G., Qaswar, M., Bustan, D., Bıçaklar, S., Akaltun, O., & Mouazen, A. M. (in review). Development of an Automated Hose-Reel Variable Rate Fertigation Machine. Computers and Electronics in Agriculture. Preprint. https://dx.doi.org/10.2139/ssrn.4781004
Additional Info
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Education
PhD in Biosystems Engineering | Bursa Uludağ University (Turkey)
M.Sc. in Biosystems Engineering | Bursa Uludağ University (Turkey)
B.Sc. in Agricultural Engineering | Université de Parakou (Benin)
Experience
Dr. Bantchina is a researcher with over 5 years of experience as an agricultural development consultant. His research interests include climate-smart agriculture, precision agriculture, soil fertility, soil proximal sensing, variable rate technology, digital soil mapping, precision irrigation, site-specific fertigation, hyperspectral remote sensing and GIS applications for agriculture, crop modelling, numerical modelling and data fusion, AI, machine learning, and deep learning applications in agriculture.
