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Your search keyword '"Bhadra, B. K"' showing total 6 results
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6 results on '"Bhadra, B. K"'

2. Soil Penetration Depth of RISAT-1 C-Band and PALSAR-2 L-Band Sensors in Arid Zone of Rajasthan, India

Author

Bhadra, B. K., Jain, Ashish K., Rehpade, Sushilkumar B., Meena, Hansraj, Rao, S. Srinivasa, Singh, V. P., Editor-in-Chief, Berndtsson, R., Editorial Board Member, Rodrigues, L. N., Editorial Board Member, Sarma, Arup Kumar, Editorial Board Member, Sherif, M. M., Editorial Board Member, Sivakumar, B., Editorial Board Member, Zhang, Q., Editorial Board Member, Jha, Chandra Shekhar, editor, Pandey, Ashish, editor, Chowdary, V.M., editor, and Singh, Vijay, editor

Published
2022
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4. Semi physical and machine learning approach for yield estimation of pearl millet crop using SAR and optical data products.

Author

Kshetrimayum, Arvindd, Goyal, Akash, H, Ramesh, and Bhadra, B. K

Subjects
MACHINE learning, PEARL millet, FOOD crops, RANDOM forest algorithms
Abstract

Pearl millet (Pennisetum glaucum L.R.Br.), is the most widely cultivated food crop after rice, wheat, and maize. The aim of the project is to determine the crop acreage of Pearl millet (Bajra) using Sentinel-1A SAR data and Machine Learning Algorithm to determine the yield estimation of the Pearl millet crop at the tehsil level using the Monteith approach. The classification overall accuracy is found to be 86.48% for Agra district and 80.15% for Firozabad district. The Relative Deviation of yield estimation for the Agra and Firozabad districts is found to be 10.14 and 6, respectively. [ABSTRACT FROM AUTHOR]

Published
2024
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