Home / Papers / Plant Disease Detection Robot

Plant Disease Detection Robot

2 Citations2021
Yogeswaran Amsavalli, P. S. Mayurappriyan, M. Saravana Mohan
2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)

No TL;DR found

Abstract

The best way to forestall misfortune in gather and number of cultivating items is through sickness identification. Plant sickness is not characterized as an illness that can be recognized by actual irregularities of the plant (like shrinking of leaves). Ill-advised upkeep or confirmation of plant illness can make colossal misfortunes to the ranchers. Plant wellbeing checking and sickness location are vital for maintainable farming. It is undeniably challenging to detect the illness physically for goliath regions. It requires more labor who work in plant sicknesses and furthermore requires really handling time. This will be the most valuable thing for the ranchers to keep up with the strength of the plants. In this work, an advanced plant disease detection robot is proposed based on the concept of digital image processing. The picture obtained is utilized to recognize plant sicknesses. Sickness location includes steps, for example, picture obtaining, picture pre-handling, picture division, highlight extraction, and grouping. The caught picture is handled, and a Short Message Service (SMS) will be sent through the mobile phone. SMS contains point by point data about the illness. It will be simpler and more agreeable to check and ensure huge spaces of plants and their efficiency.