Published: 2024-01-01

An Improved Deep Learning Model for Detecting Rice Diseases

Doaa El-Shahat, Ahmed Tolba, Amit Krishan Kumar (Author)

1-10

DOI: https://doi.org/10.61356/j.oia.2024.1194

Evaluating Agriculture Robots: Case Study and Analysis

Mai Mohamed, Shaimaa Ayman, Venkatesan Rajinikanth (Author)

11-21

DOI: https://doi.org/10.61356/j.oia.2024.1195
DOI: https://doi.org/10.61356/j.oia.2024.1196
DOI: https://doi.org/10.61356/j.oia.2024.1197
DOI: https://doi.org/10.61356/j.oia.2024.1201
DOI: https://doi.org/10.61356/j.oia.2024.1202
DOI: https://doi.org/10.61356/j.oia.2024.1257

A Novel Hybrid Approach Based on CNN for Corn Diseases Detection

Ahmed Elmasry, Walid Abdullah, Byeong-Gwon Kang, Yunyoung Nam (Author)

94-104

DOI: https://doi.org/10.61356/j.oia.2024.1273
DOI: https://doi.org/10.61356/j.oia.2024.1274
DOI: https://doi.org/10.61356/j.oia.2024.1276

Deep Learning for Coffee Leaf Diseases Detection in Precision Agriculture

I. M. elezmazy, Mohamed Abouhawwash, Nihal N. Mostafa (Author)

129-136

DOI: https://doi.org/10.61356/j.oia.2024.1292