Plant Disease Identification Model Through Machine Learning Techniques
摘要
The increasing threat of plant and crop diseases poses a significant challenge to global food security. To address this issue, we propose a “Plant/Crop Disease Identification” system. This innovative solution includes a image recognition and machine learning technologies. This article first expands about the contextual understanding of plant diseases and their impact on farmer’s life. Machine Learning algorithm called Convolutional Neural Networks best suits for detection of plant diseases by applying image processing techniques. The experimental results show that model achieves an accuracy of 98.