Enhanced Approach for Precision Agriculture Using AI/ML Techniques

Title

Enhanced Approach for Precision Agriculture Using AI/ML Techniques

Creator

Agarwal, Vedant; Budhiraja, Samiksha; Sasi, Ashwin; Jeno Lovesum, S.P.

Description

Precision-based agriculture has been made possible by recent technical breakthroughs and developments in information technology. These new developments have made it possible to better utilise contemporary methods and instruments, like IOT, soft computing, and wireless sensor technology, to increase the agricultural productions environmental and economic sustainability. Precision farming is a new trend in agriculture that sets itself apart from traditional farming methods by applying resources in a way that is efficient, planned, systematic, and justified in order to produce higher and better yields. Precision farming uses geographic information systems like weather patterns, remote sensing technologies like Wireless Sensor Networks (WSN), and soft computing tools like Support Vector Machines (SVM), Random Forest (RF), Artificial Neural Networks (ANN), and Decision Trees (DT) to monitor and predict farm produce requirements in real time and for the future. This study examines the application of several methods and tools used in precision farming. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Source

Lecture Notes in Networks and Systems;Volume;1247 LNNS;pp.19-30

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Artificial Intelligence; Data Science; Precision Agriculture; Supervised Learning; Unnamed Aerial Vehicle

Coverage

Agarwal V., Computer Science and Engineering Bangalore, Christ University, Karnataka, Bengaluru, India; Budhiraja S., Computer Science and Engineering Bangalore, Christ University, Karnataka, Bengaluru, India; Sasi A., Computer Science and Engineering Bangalore, Christ University, Karnataka, Bengaluru, India; Jeno Lovesum S.P., Computer Science and Engineering Bangalore, Christ University, Karnataka, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-303181085-5;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-3-031-81086-2_3

https://www.scopus.com/pages/publications/105005391660?origin=resultslist