The rapid advances in Deep Learning (DL) techniques have enabled rapid detection,
localisation, and recognition of objects from images or videos. DL techniques are now being …

Recently, agriculture has gained much attention regarding automation by artificial
intelligence techniques and robotic systems. Particularly, with the advancements in machine …

Computer vision technologies have attracted significant interest in precision agriculture in
recent years. At the core of robotics and artificial intelligence, computer vision enables …

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 …

Autonomous robotic weeding systems in precision farming have demonstrated their full
potential to alleviate the current dependency on agrochemicals such as herbicides and …

Convolutional neural networks (CNNs) have achieved state-of-the-art performance in
numerous aspects of human life and the agricultural sector is no exception. One of the main …

Precision agriculture is gaining increasing attention because of the possible reduction of
agricultural inputs (eg, fertilizers and pesticides) that can be obtained by using hightech …

Weed control is a global issue, and has attracted great attention in recent years. Deploying
autonomous robots for weed removal has great potential in terms of constructing …

Research is being extensively conducted on using deep learning in the field of crop and
weed segmentation based on images captured with a camera. However, the segmentation …

Robotic weed control through weed detection has become increasingly important due to
mounting pressure on herbicides from resistance and the large impact of weeds on …