High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …

Soybean is a pivotal agricultural commodity around the world, primarily because of its high
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …

The objective of this study is to investigate the potential of novel neural network architectures
for measuring the quality and quantity parameters of silage grass swards, using drone RGB …

Spectral imaging technique has been widely applied in plant phenotype analysis to improve
plant trait selection and genetic advantages. The latest developments and applications of …

Monitoring pasture conditions contributes to the animals' decision-making process, avoiding
supplementation losses, and improving cattle performance. Environmental parameters and …

Agricultural grasslands are globally important for food production, biodiversity, and
greenhouse gas mitigation. Effective strategies to monitor grass sward properties, such as …

Estimation of biophysical vegetation variables is of interest for diverse applications, such as
monitoring of crop growth and health or yield prediction. However, remote estimation of …

Accurate and reliable predictions of biomass yield are important for decision-making in
pasture management including fertilization, pest control, irrigation, grazing, and mowing …

Yield calculation is an important link in modern precision agriculture that is an effective
means to improve breeding efficiency and to adjust planting and marketing plans. With the …