Manoj Semwal | Crop Science | Best Researcher Award

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Dr. Manoj Semwal | Crop Science | Best Researcher Award

Chief Scientist at Council of Scientific and Industrial Research | India

Dr. Manoj Semwal is a highly accomplished scientist specializing in Precision Agriculture, Remote Sensing, Unmanned Aerial Vehicles (UAV), Machine Learning, and ICT applications in crop science. He holds degrees including B.Sc. (Physics, Chemistry, Mathematics), PGDCSA, MCA, M.Tech in Remote Sensing and GIS from the Indian Institute of Remote Sensing (ISRO), and a Ph.D. in Precision Agriculture from the Academy of Council of Scientific and Industrial Research. With over two decades of professional experience, he has served in progressive scientific roles at CSIR-CIMAP, culminating in his current position as Chief Scientist at CSIR Headquarters. His research interests span drone-based agri-technologies, smart farming systems, hyperspectral imaging, and data-driven decision tools for crop management. Demonstrating advanced research skills in remote sensing analytics, GIS modeling, and machine learning applications, he has led several national and international projects, including the Aroma Mission and a major Haleon UK-funded initiative on sustainable mint-based agro-technologies. His achievements have been recognized through numerous awards such as the CSIR Technology Award for Life Science, CAIRD Award for Rural Development, and the National Geomatics Award (ISRO, 2024). With over 40 peer-reviewed publications, book chapters, and innovative technology developments, Dr. Semwal’s work embodies scientific excellence and transformative innovation in modern agricultural research.

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Featured Publications

Bisht, D., Chanotiya, C. S., Rana, M., & Semwal, M. (2009). Variability in essential oil and bioactive chiral monoterpenoid compositions of Indian oregano (Origanum vulgare L.) populations from northwestern Himalaya and their chemotaxonomy. Industrial Crops and Products, 30(3), 422–426.

Kumar, Y., Prakash, O., Tripathi, H., Tandon, S., Gupta, M. M., Rahman, L. U., … (2018). AromaDb: A database of medicinal and aromatic plants’ aroma molecules with phytochemistry and therapeutic potentials. Frontiers in Plant Science, 9, 1081.

Khan, M. S., Semwal, M., Sharma, A., & Verma, R. K. (2020). An artificial neural network model for estimating Mentha crop biomass yield using Landsat 8 OLI. Precision Agriculture, 21, 18–33.

Prasad, N., Semwal, M., & Roy, P. S. (2015). Remote sensing and GIS for biodiversity conservation. In Recent Advances in Lichenology: Modern Methods and Approaches in Lichen Systematics and Culture Techniques (pp. 123–140). Springer.

Lothe, N. B., Mazeed, A., Pandey, J., Patairiya, V., Verma, K., Semwal, M., … (2021). Maximizing yields and economics by supplementing additional nutrients for commercially grown Menthol mint (Mentha arvensis L.) cultivars. Industrial Crops and Products, 160, 113110.

Tapon Kumar Roy | Agronomy | Best Researcher Award

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Mr. Tapon Kumar Roy | Agronomy | Best Researcher Award

Mr. Tapon Kumar Roy is an accomplished agricultural researcher at the Bangladesh Rice Research Institute (BRRI) with 46 citations from 40 documents, 8 published papers, and an h-index of 3, reflecting his growing academic impact in the field of agronomy and rice entomology. He holds a B.Sc. (Hons.) in Agriculture and an MS in Crop Physiology and Ecology from Hajee Mohammad Danesh Science and Technology University, Bangladesh. His professional experience spans pest management, pesticide residue analysis, and eco-friendly agricultural practices, with active involvement in projects on rice pest control, storage pest management, and natural enemy conservation. His research interests include insect toxicology, botanicals, nanoparticle-based pest management, and the physiological response of rice to salt and abiotic stress. Mr. Roy possesses advanced research skills in statistical and analytical tools such as LCMS, GCMS/MS, QGIS, R Studio, and MSTAT-C, enabling precision in experimental design and data analysis. His contributions have earned him prestigious recognitions including the National Integrity Award (2021–22) and Best Scientist Award (2020–21) from BRRI. Through his commitment to innovation and sustainable pest management, Mr. Roy continues to contribute significantly to improving rice productivity and promoting environmentally responsible agricultural practices in Bangladesh.

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Featured Publications

Alam, Z., Akter, S., Khan, M. A. H., Amin, M. N., Karim, M. R., Rahman, M. H. S., et al. (2024). Multivariate analysis of yield and quality traits in sweet potato genotypes (Ipomoea batatas L.). Scientia Horticulturae, 328, 112901.

Roy, T. K., Sannal, A., Tonmoy, S. M. M. S., Akter, S., Roy, B., & Rana, M. M. (2024). Trait analysis of short duration boro rice (Oryza sativa L.) varieties in northern region of Bangladesh: Insights from heatmap, correlation and PCA. Nova Geodesia, 4(2), 175–175.

Ali, M. P., Haque, S. S., Hossain, M. M., Bari, M. N., Kabir, M. M. M., Roy, T. K., Datta, J., et al. (2023). Development and demographic parameters of fall armyworm (Spodoptera frugiperda J. E. Smith) when feeding on rice (Oryza sativa). CABI Agriculture and Bioscience, 4(1), 1–14.

Roy, T. K., Kabir, M. M. M., Akter, S., Nayeem, A., Alam, Z., Hasan, M. R., & Bari, M. N. (2024). Seasonal variations of insect abundance: Correlating growth stage-specific metrics with weather patterns in Rangpur Region, Bangladesh. Heliyon, 10(18), e38121.

Roy, T. K., Tonmoy, S. M. M. S., Sannal, A., Akter, S., Hasan, K. T., & Rana, M. M. (2022). Yield performance of some short duration high yielding rice varieties during boro season in northern region of Bangladesh. International Journal of Natural and Social Sciences, 9(4), 15–21.