Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection

• Published in: Complexity (New York, N.Y.) Vol. 2020; no. 2020; pp. 1 - 6
• Main Authors: Shah, Syed Tanveer, Yousaf, Suhail, Hamid, Muhammad, Ahmad, Iftikhar, Ahmad, Muhammad Ovais
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Agricultural ecology; Algorithms; Analysis; Artificial neural networks; Automation; Bactericides; Business metrics; Classification; Computer Science; Crop production; Data collection; Datasets; Datavetenskap; Deep learning; Feature extraction; Fungicides; Neural networks; Parameter identification; Plant diseases; Tomatoes

Vegetable and fruit plants facilitate around 7.5 billion people around the globe, playing a crucial role in sustaining life on the planet. The rapid increase in the use of chemicals such as fungicides and bactericides to curtail plant diseases is causing negative effects on the agro-ecosystem. The h...