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Agriengineering 05 00145 V2 by mzzcalista is a document available to read on EtoBox.
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This document presents a study that uses a convolutional neural network model called GoogleNet to develop a mobile application for detecting plant pests in Indonesia. The study trained GoogleNet on images of plant pests and achieved 93.78% accuracy, which was included in a smartphone app in Indonesian to help farmers identify pests affecting their crops. By enhancing pest identification capabilities, the app has the potential to help farmers employ better pest management strategies and improve crop yields o
- Author
- mzzcalista
- Language
- EN