I'm Jeeva, a Passionate Software Engineer. I'm in pursuit of expanding my knowledge and open to exploring opportunities along my way. I prefer to keep learning, continue to challenge myself, and do interesting things that matter.
Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. Using a public dataset(Plant Village Dataset) of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, we train a deep convolutional neural network to identify 14 crop species and 26 diseases (or absence thereof). The trained model achieves an accuracy of 99.35% on a held-out test set, demonstrating the feasibility of this approach.
Dataset: Plant Village Dataset
- Python,OpenCV,Deep Learning 🤖
