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Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472
Kar, S and Purbey, V K and Suradhaniwar, S and Korbu, L B and Kholova, J and Durbha, S S and Adinarayana, J and Vadez, V (2021) An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture (TSI), 182. ISSN 0168-1699
Pal, A and Ghosh, A and Gupta, S S and Bisai, S (2024) The Hunger Crisis Measuring Hunger across Indian States. Economic and political weekly, LIX (24). pp. 112-116. ISSN 0012-9976
Patil, S M and Choudhary, S and Kholova, J and Chandramouli, M and Jagarlapudi, A (2024) Applications of UAVs: Image-Based Plant Phenotyping. In: Digital Agriculture. Springer Cham, Switzerland, pp. 341-367. ISBN 978-3-031-43548-5
Sharma, V and Mishra, N and Thomas, S and Narasanna, R and Jambaladinni, K and Kagolla, P and Gautam, A and Thakur, A and Vishwakarma, A and Agsar, D and Pandey, M K and Kumar, Rakesh (2024) Advances in Microbial Study for Crop Improvement. In: Genome Editing in Bacteria. Bentham Science Publishers, pp. 1-42. ISBN 9789815223804