International Journal of Agriculture Extension and Social Development

author(s)
S Gangadharan, M Venu Gopal, Manikant Sharma, M Lakshmi Prasanna, M Rajani and M Radhika

abstract
Weeds are a real headache for modern farmers, as they compete with crops for essential resources like nutrients, water, and sunlight, which can lead to lower yields. Traditional methods for managing weeds often depend on a lot of manual labor or chemical herbicides, both of which come with their own set of challenges regarding efficiency, cost, and environmental concerns. This study looks into how deep learning could change the game for weed detection by using image classification techniques. A convolutional neural network (CNN) was trained on a dataset filled with images of healthy plants and weeds, allowing for automated classification.