A framework for multi-sensor satellite data to evaluate crop production losses: the case study of 2022 Pakistan floods

Nature·Mar 14

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1

Application of time-lagged satellite image-based crop coefficients for estimating actual evapotranspiration through FAO-56 method

Nature·Feb 1

2

Network-enhanced machine learning framework for multi crop yield prediction: a comprehensive analysis of indian agricultural data

Frontiers·Feb 5

3

A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018–2022

Nature·Jan 20

4

Integrating UAVs, satellite remote sensing, and machine learning in precision agriculture: pathways to sustainable food production, resource efficiency, and scalable innovation

Frontiers·Dec 3

5

Reinforcement learning based dynamic vegetation index formulation for rice crop stress detection using satellite and mobile imagery

Nature·Dec 29

6

UAV multi-source data fusion with super-resolution for accurate soybean leaf area index estimation

Frontiers·Nov 19

7

Design and implementation of a deep learning framework for automated crop classification and health diagnosis in precision agriculture | Scientific Reports

Nature·Feb 28

8

Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review

Frontiers·Jun 23