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Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

2019-12-01

Abstract excerpt

Convolutional Neural Networks (CNN) have demonstrated their capabilities on the agronomical field, especially for plant visual symptoms assessment. As these models grow both in the number of training images and in the number of supported crops and diseases, there exist the dichotomy of (1) generating smaller models for specific crop or, (2) to generate a unique multi-crop model in a much more complex task (especia...

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Literature Corpus work: 04a815be-e04d-5ad8-944c-00204675a7e8
DOI: 10.1016/j.compag.2019.105093

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