This study developed a rapid rice yield estimation workflow and customized yield prediction
model by integrating remote sensing and meteorological data with machine learning (ML) …

Map** rice area is a critical resource planning task in many South Asia countries where
rice is the primary crop. Remote-sensing-based methods typically rely on domain …

This article presents a streamlined, automated classification method to map land-cover-type
local climate zones (LCZs). Using a two-phase hybrid approach, we first generated training …

This paper would provide a comprehensive review of the synergistic integration of
measurement science and artificial intelligence (AI) in the realm of smart agriculture. As …

Rice is one of the world's most important staple foods. Accurately and timely detecting paddy
rice planting extent is critical to ensure food security. China, with its vast territory ranging …

Urbanization, industrialization, and population growth are driving rapid changes in global
climate patterns, posing significant challenges to human health and environmental …

This study presents a novel approach to predicting paddy yields in Brunei's Wasan Rice
Scheme using projected normalized difference vegetation index (NDVI) values derived from …

The rapid crop insurance survey method based on unmanned aerial vehicle imagery mainly
relies on deep learning object detection to identify rice fields in the images captured by the …