Plant Disease and Diagnosis Treatment through Deep Learning Techniques
Dushant Baisware , Kumar Kankam, Himanshu Bijwar, Ketan Waghmare
DOI : 10.46335/IJIES.2023.8.7.4
Abstract – Technology has percolated into each and every sphere of our life. What seemed impossible yesterday is implemented today and evolved tomorrow. Agricultural sector is bound to change a lot than it was in these past decades. A lot has changed and use of technology has increased a lot in helping the farmers increase their production. Farmer these days have access to Smartphone devices in which they can search the type of pesticides and fertilizers to use in order to improve production and prevent crop damage. But they cannot use any chemical without any expert’s advice. The endpoint of these advancements in agricultural sector is to make the expert’s opinion available to the farmers present anywhere event in remote locations. This can be done by developing a suitable application where they can check their crops health and see measures to prevent or cure diseases. This application would make use of machine learning and deep learning algorithms in order to detect the disease infecting the plant and with the help of the data already fed in the database it would be able to tell the farmer about how to cure a particular disease which is affecting his crops.
