Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …

Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …

During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenotyping various biotic and abiotic stresses throughout the …

Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …

Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …

Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral
and spatial information about crops and plays a pivotal role in precision agriculture. This …

Food scarcity, population growth, and global climate change have propelled crop yield
growth driven by high-throughput phenotyping into the era of big data. However, access to …