Weeds can decrease yields and the quality of crops. Detection, localisation, and
classification of weeds in crops are crucial for developing efficient weed control and …

Weeds are a crucial threat to agriculture, and in order to preserve crop productivity,
spreading agrochemicals is a common practice with a potential negative impact on the …

BACKGROUND Precision weed control in vegetable fields can substantially reduce the
required weed control inputs. Rapid and accurate weed detection in vegetable fields is a …

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 …

Convolutional neural networks (CNNs) have revolutionized the weed detection process with
tremendous improvements in precision and accuracy. However, training these models is …

Alternative non-chemical or chemical-reduced weed control tactics are critical for future
integrated weed management, especially for herbicide-resistant weeds. Through weed …

Solanum rostratum Dunal is a common invasive alien weed that can damage native
ecosystems and biodiversity. Detecting Solanum rostratum Dunal at an early stage of growth …

The key to precise weeding in the field lies in the efficient detection of weeds. There are no
studies on weed detection in potato fields. In view of the difficulties brought by the cross …

Intelligence has been considered as the major challenge in promoting economic potential
and production efficiency of precision agriculture. In order to apply advanced deep-learning …

This study introduces a You Only Look Once (YOLO) model for detecting diseases in tomato
leaves, utilizing YOLOV8s as the underlying framework. The tomato leaf images, both …