Image Processing and Artificial Intelligence for Precision Agriculture

Title

Image Processing and Artificial Intelligence for Precision Agriculture

Creator

Sharmila G.; Rajamohan K.

Description

Precision agriculture is a novel approach to increase the productivity of crops that employs recent technologies such as Artificial Intelligence, WSN, cloud computing, Machine Learning, and IoT. This paper reviews the development of different techniques effectively used in precision agriculture. The paper details the technological impact on precision agriculture followed by the different image processing schemes such as Satellite imagery and unmanned aerial vehicle (UAV). The role of precision agriculture is disease detection, weed detection from UAV images, and detection of trees and contaminated soils from satellite imagery is discussed. It reviews the impact of artificial intelligence (AI) namely machine learning &deep learning in precision agriculture. The performance of the recent image processing schemes in precision agriculture is analyzed. The paper also discusses the challenges that exist in implementing the precision agriculture system. 2022 IEEE.

Source

Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Image processing; neural network; Precision agriculture; Satellite imagery; UAV images

Coverage

Sharmila G., Department of Computer Science CHRIST (Deemed to Be University), Chennai, India; Rajamohan K., Department of Computer Science CHRIST (Deemed to Be University), Chennai, India

Rights

Restricted Access

Relation

ISBN: 978-166547413-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICSES55317.2022.9914148

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