TY  - JOUR
AU  - Picon, Artzai
AU  - Alvarez-Gila, Aitor
AU  - Seitz, Maximiliam
AU  - Ortiz-Barredo, Amaia
AU  - Echazarra, Jone
AU  - Johannes, Alexander
PY  - 2019
DO  - 10.1016/j.compag.2018.04.002
SN  - 0168-1699
AB  - Fungal infection represents up to 50% of yield losses, making it necessary to apply effective and cost efficient fungicide treatments, whose efficacy depends on infestation type, situation and time. In these cases, a correct and early identification...
LA  - eng
TI  - Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
TY  - journal article
ER  -