Model Training: Developed an initial Convolutional Neural Network (CNN) using TensorFlow and Keras, and trained it on labeled datasets to identify plant diseases. Milestone 3: Disease Classification ...

Faster and accurate detection of plant diseases can enhance agricultural productivity and overall yield. Many methods are proposed in the literature for plant disease detection using optical sensors ...

This paper presents a framework leveraging Raspberry Pi for the detection and prevention of plant diseases, employing a Convolutional Neural Network (CNN) algorithm for image analysis. With a focus on ...

🌿 Leave Disease Detection using ML and CNN. ... It utilizes machine learning algorithms, particularly CNNs, to classify the images into different disease categories. Features. Automated detection of ...

Keywords: transformer, Generative Adversarial Networks, detection network, deep learning, plant disease detection, leaf images. Citation: Zhang Y, Wa S, Zhang L and Lv C (2022) Automatic Plant Disease ...

In recent years, plant disease detection methods based on spore detection, such as spore capture apparatus (Kremneva et al., 2023) and microscopic image processing technology (Wei et al., 2024), have ...