This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science and Engineering
Author
Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P.
Org/Univ
Sai Vidya Institute of Technology, Rajanukunte, Karnataka, India
Pub. Date
12 July, 2021
Paper ID
V7I4-1255
Publisher
Keywords
Weed, Image, Productivity, Agriculture, Increase

Citationsacebook

IEEE
Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P.. Weed detection using Machine Learning, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P. (2021). Weed detection using Machine Learning. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.

MLA
Anupuri Sai Priya, Nadimpalli Lavanya, Pallavi K., G. Nithyasree, Santhosh Reddy P.. "Weed detection using Machine Learning." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.

Abstract

Agriculture is one of the world's oldest sources of human nourishment. To satisfy the strain of an ever-increasing population, agricultural output must be greatly enhanced. People employed natural techniques to enhance production within the past, like utilising garbage as a fertiliser within the fields, which increased output sufficiently to fulfil the population's needs. Following this epoch, the utilization of lethal chemicals like herbicides skyrocketed. As a result, we've got made extra money while also causing greater environmental damage. the most important goal of this research is to use image processing to detect and take away weeds.So, in this project, we've created a way to decrease herbicide consumption by only spraying them where weeds are present. Using image processing, we were able to locate weeds in the site photos and classify them based on their area and aspect ratio.