Plants are one of the most widely used resources for humans in different fields. Therefore,
the distinction between the plant species is important and it is referred to as the plant …

Site-specific weed detection and management in agrarian lands is a crucial approach for
crop productivity management and chemical contamination mitigation in precision …

This paper investigates the efficiency of a Convolutional neural network in detecting weed in
case of rice field. Generally speaking, rice is considered as the most crop presents in …

In order to overcome this threat imposed by weeds in agriculture, a measure is taken to
identify the weeds that grow along with the seedlings with the help of deep learning (DL) …

Technology is improving the ways, methods and approaches many old and tedious tasks
are being performed such that the thoughts of the inexistence of these present technologies …

This research aims to develop a disease and pest detection system in chili plants using
computer vision techniques. In this study, deep learning methods, especially Convolutional …

In agriculture, as precision farming increasingly employs robots to monitor crops, the use of
weeding and harvesting robots is expanding the need for computer vision. Currently, most …

Weed infestation is an essential factor in sugarcane productivity loss. The use of remote
sensing data in conjunction with Artificial Intelligence (AI) techniques, can lead the …

Artificial Intelligence, specifically deep learning, is a fast-growing research field today. One
of its various applications is object recognition, making use of computer vision. The …

Agriculture is the mainstay of the Indian economy. Almost 70% of people depend on it and
share a major part of the Gross Domestic Product (GDP). The economy of our country is …