The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …

In contrast to the rapid advances made in plant genoty**, plant phenoty** is considered
a bottleneck in plant science. This has promoted high-throughput plant phenoty** (HTP) …

The phenotypic parameters of crop plants can be evaluated accurately and quickly using an
unmanned aerial vehicle (UAV) equipped with imaging equipment. In this study, hundreds of …

Asian soybean rust (ASR) is one of the major diseases that causes serious yield loss
worldwide, even up to 80%. Early and accurate detection of ASR is critical to reduce …

Tea height, leaf area index, canopy water content, leaf chlorophyll, and nitrogen
concentrations are important phenotypic parameters to reflect the status of tea growth and …

Sugarcane crop lodging is an agronomic condition that critically affects the cane yield and
sugar quality. Lodging also impedes intercultural management and harvest operations …

Improvements in crop productivity are required to meet the dietary demands of the rapidly-
increasing African population. The development of key staple crop cultivars that are high …

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 …

Lodging is one of the common stresses in maize production, which affects the benefit of
farmers and impacts food security. Rapid monitoring of crop lodging can support loss …

Agronomic and physiological traits in peanut (Arachis hypogaea) are important to breeders
for selecting high‐yielding and resilient genotypes. However, direct measurement of these …