Bird Motion Detection for Crop Protection Using Machine Learning

Authors

  • Mrs A. Sireesha, G. Sai Krishna, A. Lakshmi Ashritha, P. Sandeep

Abstract

The whole world needs food to survive and these foods are mostly produced from crops. People labour as farmers in various countries throughout the world to make a living. Farmers are the ones who work hard to cultivate these crops. They face different types of difficulties in the entire process of farming or cultivating these crops. Pests that are associated with plants are tied to farming, and when there are lots of plants, there must be pests--animals that cause damage to crops. Pests include both animals and birds, who can harm plants. Birds are examples of pests since they devour plants and their goods and hurt farmers. So, we are trying to prepare a prototype that detects incoming birds using sensors and classify them. The machine learning algorithm and Python OpenCV in these sensors aid in the bird recognition process.

Published

2023-03-22

How to Cite

Mrs A. Sireesha, G. Sai Krishna, A. Lakshmi Ashritha, P. Sandeep. (2023). Bird Motion Detection for Crop Protection Using Machine Learning. SJIS-P, 35(1), 532–536. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/333

Issue

Section

Articles