Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research

Autor: Maryam Ouhami, Adel Hafiane, Youssef Es-Saady, Mohamed El Hajji, Raphael Canals

Publikováno v: Remote Sensing, Vol 13, Iss 13, p 2486 (2021)

Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of agriculture production. Disease control has been a research object in many scientific and technologic domains. Technological advances in sensors, data sto

Externí odkaz: https://doaj.org/article/d830f9a6ffdf408e986f1bfb6c92c194

Deep Transfer Learning Models for Tomato Disease Detection

Autor: Maryam Ouhami, Adel Hafiane, Mohamed El Hajji, Mostafa El Yassa, Raphael Canals, Youssef Es-Saady

Publikováno v: Image and Signal Processing Springer
Image and Signal Processing Springer, pp.65-73, 2020, ⟨10.1007/978-3-030-51935-3_7⟩
Lecture Notes in Computer Science ISBN: 9783030519346
ICISP

Vegetable crops in Morocco and especially in the Sous-Massa region are exposed to parasitic diseases and pest attacks which affect the quantity and the quality of agricultural production. Precision farming is introduced as one of the biggest revoluti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93dd3a462d7cedf5f1a171f845c208df
https://hal.archives-ouvertes.fr/hal-03299539