Automatic blight disease detection in potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum, L. 1753) plants using deep learning
Authors:
- Alberta Odamea Anim-AyekoAAAlberta Odamea Anim-Ayeko
- Calogero SchillaciCalogero Schillaci
- Aldo LipaniALAldo Lipani
Top Cited Papers
Open Access
- 9 January 2023
- journal article
- research article
- Published by Elsevier in Smart Agricultural Technology
- Vol. 4
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
- Whole‐genome sequencing elucidates the species‐wide diversity and evolution of fungicide resistance in the early blight pathogen Alternaria solaniEvolutionary Applications, 2022
- Evaluation of bio-agents and neem based products against late blight disease (Phytophthora infestans) of potatoIndian Phytopathology, 2021
- Potato Plant Leaves Disease Detection and Classification using Machine Learning MethodologiesIOP Conference Series: Materials Science and Engineering, 2021
- Artificial Intelligence in Potato Leaf Disease Classification: A Deep Learning Approach2020