Agricultural and Biological Sciences
5 years ago

Revolutionizing Agriculture: AI Identifies Weeds, Boosts Crop Growth by 97%

Weed Identification using Convolutional Neural Network and Convolutional Neural Network Architectures
E. Gothai, P. Natesan, S. Aishwariya, T.B. Aarthy, G. Brijpal Singh

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Researchers used deep learning technology to develop a system that can identify weeds among seedlings in agriculture. They created different models with varying numbers of layers, finding that an eight-layered architecture had the highest accuracy. This approach resulted in training accuracies ranging from 96.27% to 97.83% and validation accuracies from 91.67% to 96.53%. By using these convolutional neural network architectures, it is possible to significantly reduce the need for manual weed identification in fields.