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 …

Plant nitrogen (N), acquired mainly in the form of nitrate and ammonium from soil, dominates
growth and development, and high-yield crop production relies heavily on N fertilization. The …

Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras
and LiDAR, have significant potential in precision agriculture, including object detection …

Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …

Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

High‐throughput crop phenotyping, particularly under field conditions, is nowadays
perceived as a key factor limiting crop genetic advance. Phenotyping not only facilitates …

Unmanned Aerial Vehicle (UAV) imaging systems have recently gained significant attention
from researchers and practitioners as a cost-effective means for agro-environmental …

Assessing crop production in the field often requires breeders to wait until the end of the
season to collect yield-related measurements, limiting the pace of the breeding cycle. Early …

Climate change is one of the primary culprits behind the restraint in the increase of cereal
crop yields. In order to address its effects, effort has been focused on understanding the …

The use of unmanned aerial vehicles'(UAV) remotely sensed data in crop evaluation is
revolutionizing the field of plant phenotyping. This study was conducted to (1) develop …