Disease Detection in Apple Leaves Using Deep Convolutional Neural Network

• Published in: Agriculture (Basel) Vol. 11; no. 7; p. 617
• Main Authors: Bansal, Prakhar, Kumar, Rahul, Kumar, Somesh
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2021
• Subjects: Accuracy; Agriculture; Algorithms; apple scab; Apples; Artificial neural networks; automatic detection; Automation; Classification; convolutional neural network; Crop diseases; Crops; data collection; Datasets; Deep learning; DenseNet121; Disease detection; EfficientNetB7; Farms; Fruit trees; Fruits; Leaves; Machine learning; Medical imaging; Model accuracy; Neural networks; Plant diseases; Rust fungi; Support vector machines; transfer learning

The automatic detection of diseases in plants is necessary, as it reduces the tedious work of monitoring large farms and it will detect the disease at an early stage of its occurrence to minimize further degradation of plants. Besides the decline of plant health, a country’s economy is highly affect...