DIAGNOSIS OF SUGAR CANE LEAF DISEASES AND AUTOMATED CONTROL OF SPRAY PESTICIDES, CONTROLLING THROUGH GADGETS

Authors

  • V.NETHRA Author

DOI:

https://doi.org/10.62643/

Keywords:

Raspberry Pi (Rpi); Sensors; Web camera; Web Design; Irrigation; sugarcane Leaf disease detection; OpenCV; Qt; pesticide spray;

Abstract

Sugarcane is one of the most important commercial crops of India. It is widely grown by the
formers for their big margin profit. It has a lot of by-products. India stands second in the product of
sugarcane followed by Brazil. It requires lots of water for its cultivation and it is highly fragile to the
diseases like a fungal infection. In India, it is highly grown in UP. Identification of sugarcane diseases is
the key to preventing the losses in sugarcane products. If proper care is not taken then it causes serious
effects on sugarcane plants which affect on quality and quantity of sugarcane products. The identification
of sugarcane disease through some automatic technique is beneficial it reduces large work of monitoring
in big forms of crops. This paper also presents an automated irrigation system, in this system raspberry pi
is used as an embedded Linux board. The system has a sensors network of soil moisture, temperature, and
humidity sensors. Soil moisture reached particular vale then message send to the owner and automatic
water motor ON. If Temperature and humidity reach a particular value then-owner makes the pesticide
motor ON or OFF on his smartphone or on the web page.

Published

29-08-2025

How to Cite

DIAGNOSIS OF SUGAR CANE LEAF DISEASES AND AUTOMATED CONTROL OF SPRAY PESTICIDES, CONTROLLING THROUGH GADGETS. (2025). International Journal of Engineering Research and Science & Technology, 21(3), 289-293. https://doi.org/10.62643/