Semi physical and machine learning approach for yield estimation of pearl millet crop using SAR and optical data products
A Kshetrimayum, A Goyal, BK Bhadra - Journal of Spatial Science, 2023 - Taylor & Francis
Pearl millet (Pennisetum glaucum LR 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 …
wheat, and maize. The aim of the project is to determine the crop acreage of Pearl millet …
Identification of winter canola based on dual-polarized SAR datasets in hilly mountainous areas of southwest China
K Wang, B Yu, X Huang, B Li - Remote Sensing Letters, 2023 - Taylor & Francis
To improve the accuracy of canola identification in the southwest cloudy and foggy
mountains of China, this letter puts forward a group of canola recognition features with the …
mountains of China, this letter puts forward a group of canola recognition features with the …
Inventory and mapping of kharif crops using machine learning with EOS-04 time-series SAR data.
BK Bhattacharya, VM Chowdary… - Current Science …, 2024 - search.ebscohost.com
Efficient discrimination of diverse kharif crops, remains crucial for crop monitoring and
production forecasting, and plays a pivotal role in decision-making for food security in India …
production forecasting, and plays a pivotal role in decision-making for food security in India …