Weed detection and classification are considered one of the most vital tools in identifying
and recognizing plants in agricultural fields. Recently, machine learning techniques have …

Insect pests cause significant damage to food production, so early detection and efficient
mitigation strategies are crucial. There is a continual shift toward machine learning (ML) …

In precision agriculture, detection of weed is vital to control or remove it, as the weeds will
impact the crop's yield. Also accurately distinguishing weeds and crop and their localization …

Plant detection is a critical step in many farm-management tasks. Many object detection
models lack robustness for plant detection in real field conditions. Two versions of the deep …

The growing population and the effects of climate change have made it increasingly difficult
to provide enough food, as fertile land becomes scarce. Traditional farming methods are …

Most deep learning-based weed detection methods either yield high accuracy, but are slow
for real-time applications or too computationally intensive for implementation on smaller …