Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …

Climate change and population growth risk the world's food supply. Annual crop yield
production is one of the most crucial components of the global food supply. Moreover, the …

In cotton, an optimal balance between vegetative and reproductive growth will lead to high
yields and water-use efficiency. Remote sensing estimations of vegetation variables such as …

Timely and accurate rice yield prediction over large regions is imperative to making informed
decisions on precision crop management and ensuring regional food security. Previous …

Recent advances in remote sensing and machine learning show potential for improving
irrigation use efficiency. In this study, two independent methods to determine the irrigation …

Monitoring agricultural water usage with remote sensing technology has shown to be an
effective strategy for dealing with water security in the digital era. Given the massive …

In this paper, we propose an innovative approach for robust prediction of processing tomato
yield using open-source AutoML techniques and statistical analysis. Sentinel-2 satellite …

Corn (Zea mays L.) nitrogen (N) management requires monitoring plant N concentration
(Nc) with remote sensing tools to improve N use, increasing both profitability and …

Synthetic aperture radar (SAR) data provides an appealing opportunity for all-weather day
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …

Accurate high-resolution maps of oil palm plantations underpin effective management of
environmental and socio-economic impacts at global, regional, and national levels …