Title: Image processing techniques for precision agriculture: a survey

Authors: Rahul Agarwal; Narpat Singh Shekhawat

Addresses: Engineering College Bikaner, Bikaner, India ' Engineering College Bikaner, Bikaner, India

Abstract: Agriculture and its related industries have a global impact on every aspect of an individual's life. The economy of most countries depends on agriculture. This sector directly or indirectly employs significant part of the population. Due to the involvement of a large part of the population, it is essential to involve computer vision-based approaches to minimise the production cost of crop yields and to maximise profit of farmers. Precision agriculture has the potential to achieve these goals. Precision agriculture includes optimum utilisation of available resources, use of technology and deployment of resources when required while having the aim to improve life of farmers and improvement in production. This paper aims to conduct an in-depth study of precision agriculture and the use of image processing techniques in the filed of agriculture.

Keywords: precision agriculture; smart farming; image processing; feature selection; feature extraction; image classification; swarm intelligence.

DOI: 10.1504/IJHI.2023.129297

International Journal of Hybrid Intelligence, 2023 Vol.2 No.2, pp.91 - 101

Received: 16 Sep 2019
Accepted: 28 Jan 2020
Published online: 06 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article