Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Artificial Intelligence offers vast opportunities for application in agriculture; there still exists a lack of familiarity with high tech machine learning solutions in farms across most parts of the world. AI systems also need a lot of data to train machines and to make precise predictions. Tomatoes (Solanum lycopersicum) can be grown on almost any moderately well-drained soil type. This research presents an image based plant leaf disease identification by support vector machine learning technique. Simulation is performed using Python sypder 3.7 version. The overall accuracy is achieved 98% in different plant leaf disease identification.

Keywords: Sypder, Python, Accuracy, AL, Plant, Disease, Machine Learning