Fractional green canopy cover (FGCC) is a key diagnostic variable that can be used to
estimate canopy development, light interception, and evapotranspiration partitioning …

Advances in automation and data science have led agriculturists to seek real-time, high-
quality, high-volume crop data to accelerate crop improvement through breeding and to …

Phenoty** under field environmental conditions is often considered as a bottleneck in
crop breeding. Unmanned aerial vehicle high throughput phenotypic platform (UAV-HTPP) …

Estimating crop nitrogen (N) status with sensors can be useful to adjust fertilizer levels to
crop requirements, reducing farmers' costs and N losses to the environment. In this study, we …

Ground cover is an important physiological trait affecting crop radiation capture, water-use
efficiency and grain yield. It is challenging to efficiently measure ground cover with …

Lint yield in cotton is governed by light intercepted by the canopy (IPAR), radiation use
efficiency (RUE), and harvest index (HI). However, the conventional methods of measuring …

Abstract The Earth's Critical Zone, where physical, chemical and biological systems interact,
extends from the top of the canopy to the underlying bedrock. In this study, we investigated …

Recent technological advances in cotton (Gossypium hirsutum L.) phenoty** have offered
tools to improve the efficiency of data collection and analysis. High-throughput phenoty** …

Image analysis using proximal sensors can help accelerate the selection process in plant
breeding and improve the breeding efficiency. However, the accuracies of extracted …

Increasing interest in deploying multiple types of sensing instruments for agricultural plot‐
level observations has created a need for simple, high‐clearance vehicles that can be easily …