Image processing for disease diagnosis in plant leaves- developing an intelligent system for diagnosis of diseases of various plants leaves using image processing
Ikhlas Ahmad Sheikh, Firdoos Ahmad Wani
Agriculture is a key source of livelihood. Agriculture provides employment opportunities for village people on large scale in developing country like India. India's agriculture is composed of many crops and according to survey nearly 70% population is depends on agriculture. Most of Indian farmers are adopting manual cultivation due to lagging of technical knowledge. Farmers are unaware of what kind of crops that grows well on their land. When plants are affected by heterogeneous diseases through their leaves that will effects on production of agriculture and profitable loss. Also reduction in both quality and amount of agricultural production. Leaves are important for fast growing of plant and to increase production of crops. Identifying diseases in plants leave is challenging for farmers also for researchers. Currently farmers are spraying pesticides to the plants but it effects human directly or indirectly by health or also economically. To diagnose these plant diseases many fast techniques need to be adopt. In current days the image processing models are suitable, efficient and reliable field for diseases diagnosis with the help of plant leaf images.
Ikhlas Ahmad Sheikh, Firdoos Ahmad Wani. Image processing for disease diagnosis in plant leaves- developing an intelligent system for diagnosis of diseases of various plants leaves using image processing. International Journal of Advanced Scientific Research, Volume 7, Issue 1, 2022, Pages 5-7