Given the rapid development of plant genomic technologies, a lack of access to plant
phenotyping capabilities limits our ability to dissect the genetics of quantitative traits …

Technological advances have played a critical role in the production of flower crops,
enabling farmers to maximize yields and reduce losses while also improving the quality of …

Crop monitoring is important in precision agriculture. Estimating above-ground biomass
helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry …

Hyperspectral imaging sensors have been introduced for measuring the health status of
plants. Recently, they also have been used for close-range sensing of plant canopies with a …

The global population is placing unprecedented demand on food systems, which can be met
only through a complex interplay of technology, sustainable food production intensification …

The ever-growing world population brings the challenge for food security in the current
world. The gene modification tools have opened a new era for fast-paced research on new …

LiDAR sensors have great potential for enabling crop recognition (eg, plant height, canopy
area, plant spacing, and intra-row spacing measurements) and the recognition of …

This article describes a new semi-automatic method to cluster terrestrial laser scanning
(TLS) data into meaningful sets of points to extract plant components. The approach is …

Hyperspectral sensors, especially the close-range hyperspectral camera, have been widely
introduced to detect biological processes of plants in the high-throughput phenotyping …

Current crop phenotyping mainly relies on manual measurements and visual inspection for
data collection and crop assessment, which is labor-intensive, subjective, and inefficient …