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[HTML][HTML] Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review
In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability
The agriculture sector is confronted with numerous challenges in the quest for accurate crop
yield estimation, which is essential for efficient resource management and mitigating food …
yield estimation, which is essential for efficient resource management and mitigating food …
A robust approach for large-scale crop** intensity map** in smallholder farms from vegetation, brownness indices and SAR time series
Multiple crop** is a widespread agricultural intensification for increasing food production.
National-scale Crop** Intensity (CI) map** is important for achieving sustainable …
National-scale Crop** Intensity (CI) map** is important for achieving sustainable …
[HTML][HTML] Map** upland crop–rice crop** systems for targeted sustainable intensification in South China
Upland crop-rice crop** systems (UCR) facilitate sustainable agricultural intensification.
Accurate UCR cultivation map** is needed to ensure food security, sustainable water …
Accurate UCR cultivation map** is needed to ensure food security, sustainable water …
Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling
This research uses a Classification and Regression Tree (CART) model with Google Earth
Engine (GEE) to assess the winter season's land cover and change detection map** …
Engine (GEE) to assess the winter season's land cover and change detection map** …
Greening of human-dominated ecosystems in India
Satellite data show the Earth has been greening and identify croplands in India as one of the
most prominent greening hotspots. Though India's agriculture has been dependent on …
most prominent greening hotspots. Though India's agriculture has been dependent on …
[HTML][HTML] A High-Resolution Distribution Dataset of Paddy Rice in India Based on Satellite Data
X Chen, R Shen, B Pan, Q Peng, X Zhang, Y Fu… - Remote Sensing, 2024 - mdpi.com
India, as the world's second-largest rice producer, accounting for 21.7% of global rice
production, plays a crucial role in ensuring global food supply stability. However, creating …
production, plays a crucial role in ensuring global food supply stability. However, creating …