Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

This research presents a solution that combines deep learning-based image processing,
blockchain technology, and the Internet of Things (IoT) to achieve smarter control and …

Accurate assessment of crop emergence helps breeders select appropriate crop genotypes,
and farmers make timely field management decisions to increase maize yields. Crop …

Guaranteeing food security from agriculture in an uncertain context, derived from the effects
of multiple factors, is a challenge. Traditional agricultural production is the one that faces the …

The accelerated growth of computer vision techniques (CVT) has allowed their application in
various disciplines, including horticulture, facilitating the work of producers, reducing costs …

Accurate identification and monitoring of sunflower capitula are crucial for field phenotypic
analysis, cultivation management, phenological monitoring, and yield prediction. Manual …

Accurate and rapid monitoring of maize seedling growth is critical in early breeding decision
making, field management, and yield improvement. However, the number and uniformity of …

Canopy coverage-based crop growth monitoring is highly dependent on the performance of
crop segmentation algorithms. Under field conditions, crop segmentation for unmanned …

Introduction Cotton yield estimation is crucial in the agricultural process, where the accuracy
of boll detection during the flocculation period significantly influences yield estimations in …

Leaf age is an essential parameter for describing the growth stage of crop. Thus,
agronomists can develop timely cultivation strategies to promote maize growth according to …