Preharvest crop yield estimation is crucial for achieving food security and managing crop
growth. Unmanned aerial vehicles (UAVs) can quickly and accurately acquire field crop …

Urban land use is central to urban planning. With the emergence of urban big data and
advances in deep learning methods, several studies have leveraged graph convolutional …

Modern agriculture is characterized by the use of smart technology and precision agriculture
to monitor crops in real time. The technologies enhance total yields by identifying …

Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

Climate change poses significant challenges to food security, especially in semi-arid
agriculture areas. Effective monitoring of crop yield is important for establishing food …

Context Predicting crop yields with high precision and timeliness is essential for crop
breeding, enabling the optimization of planting strategies and efficients resource allocation …

Yield and lodging are crucial indicators in soybean breeding. The development of
unmanned aerial vehicle (UAV) equipped with hyperspectral imaging technologies provides …

The potential of artificial intelligence (AI) and machine learning (ML) in agriculture for
improving crop yields and reducing the use of water, fertilizers, and pesticides remains a …

The upcoming Landsat Next will provide more frequent land surface observations at higher
spatial and spectral resolutions that will greatly benefit the agricultural sector. Early …

Worldwide agricultural systems are threatened by rising temperatures, extreme weather
events, and shifting climate zones. Climate change-driven failure in sexual reproduction is a …