AUTOMATED PESTICIDE SYSTEM

Authors

  • Prof . Sumit Dhotre Department of Computer Engineering, Indira College of Engineering & Management, pune
  • Ankita Soudagar Department of Computer Engineering, Indira College of Engineering & Management, pune
  • sJyoti Khatal Department of Computer Engineering, Indira College of Engineering & Management, pune
  • Sankita Kalokhe Department of Computer Engineering, Indira College of Engineering & Management, pune
  • Manisha Bansode Department of Computer Engineering, Indira College of Engineering & Management, pune

Keywords:

Image processing, Pesticide, Raspberry Pi, Disease prediction, SIFT

Abstract

India is agricultural country lot of problems are faced by farmer. Every year farmer experiences large
losses because of pest infestation in crop & this in turn affect his lifestyle. These losses are basically due to
discontinuous monitoring of farm, various diseases on crop and improper management of pesticides. Plant disease
reduces product of farmer both in quality and quantity. So quick detection and identification of disease plant are of
more importance. It also needs continuous monitoring of farm. To overcome above problem it is necessary to
develop such system which continuously monitor the farm and detect the disease as quick as possible. we gave brief
idea to solve this problem by continuously monitoring crops using smart Robo system and techniques called Image
Processing. Image Processing give the good solution to above crisis. Image processing gives fast, automatic and
accurate solution to user. We developed an Robo system to monitor crops and for identifications and monitoring of
diseases & pesticides. This Robo not only detects disease but also spray pesticides to protect them from disease. The
robot helps the farmer to take informed decision locally or allows connecting with other existing services. This Robo
find diseases on various infected leafs. This system in detect diseases and spray the pesticides of disease in proper
amount when needed.

Published

2019-01-25

How to Cite

Prof . Sumit Dhotre, Ankita Soudagar, sJyoti Khatal, Sankita Kalokhe, & Manisha Bansode. (2019). AUTOMATED PESTICIDE SYSTEM. International Journal of Advance Research in Engineering, Science & Technology, 6(1), 11–16. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1881