Excessive use of herbicides for weed control increases the cost of crop production and can
lead to environmental degradation. An intelligent spraying system can apply agrochemicals …

BACKGROUND Precision spraying of synthetic herbicides can reduce herbicide input.
Previous research demonstrated the effectiveness of using image classification neural …

Alfalfa (Medicago sativa L.) is used as a high-nutrient feed for animals. Weeds are a
significant challenge that affects alfalfa production. Although weeds are unevenly …

Spot spraying POST herbicides is an effective approach to reduce herbicide input and weed
control cost. Machine vision detection of grass or grass-like weeds in turfgrass systems is a …

In modern agriculture, herbicides are most commonly used to control weeds. A large amount
of herbicide usage not only has an adverse effect on the soil but also has a severe …

BACKGROUND Weed infestations reduce turfgrass aesthetics and uniformity.
Postemergence (POST) herbicides are applied uniformly on turfgrass, hence areas without …

Conventional weed management approaches are inefficient and non-suitable for integration
with smart agricultural machinery. Automatic identification and classification of weeds can …

Precision spraying of herbicides can significantly reduce herbicide use. The detection
system is the critical component within smart sprayers that is used to detect target weeds …

The overgrowth of weeds growing along with the primary crop in the fields reduces crop
production. Conventional solutions like hand weeding are labor-intensive, costly, and time …

This study evaluated the potential of using machine vision in combination with deep learning
(DL) to identify the early blight disease in real-time for potato production systems. Four fields …