TY  - JOUR
AU  - Picon, Artzai
AU  - Seitz, Maximiliam
AU  - Alvarez-Gila, Aitor
AU  - Mohnke, Patrick
AU  - Ortiz-Barredo, Amaia
AU  - Echazarra, Jone
PY  - 2019
DO  - 10.1016/j.compag.2019.105093
SN  - 0168-1699
AB  - 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...
LA  - eng
TI  - Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions
TY  - journal article
ER  -