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

Hyperspectral sensor adaptability in precision agriculture to digital images is still at its
nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like …

Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …

Weeds and crops engage in a relentless battle for the same resources, leading to potential
reductions in crop yields and increased agricultural costs. Traditional methods of weed …

Weeds pose a serious threat to the safe wheat production. They are an important factor
contributing to the reduction in wheat yield and quality. The current weed control methods in …

Abstract Machine learning and deep learning are subsets of Artificial Intelligence that have
revolutionized object detection and classification in images or videos. This technology plays …

In order to efficiently identify early tea diseases, an improved YOLOv8 lesion detection
method is proposed to address the challenges posed by the complex background of tea …

Introduction The precise detection of weeds in the field is the premise of implementing weed
management. However, the similar color, morphology, and occlusion between wheat and …

Recently, precision weed management has emerged as a promising solution for reducing
the use of herbicides which is hazardous to crops and human health. Thus, accurate …