• Shreya Sharma
• Dr. Anshuj Jain

Plant leaf disease identification is a crucial task for ensuring food security and preventing crop losses. The conventional methods for identifying plant diseases are time-consuming and require a high level of expertise. In recent years, machine learning techniques have been employed to overcome these limitations. This research paper presents 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.

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

"An Efficient Machine Learning Technique for Plant Leaf Disease Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c377-c381, May-2023, Available :http://www.jetir.org/papers/JETIR2305255.pdf

"An Efficient Machine Learning Technique for Plant Leaf Disease Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc377-c381, May-2023, Available at : http://www.jetir.org/papers/JETIR2305255.pdf