Optimising agricultural practices with machine learning: a comprehensive review
by R. Deepa; A. Sivasamy; S. Selvam
International Journal of Agriculture Innovation, Technology and Globalisation (IJAITG), Vol. 3, No. 4, 2023

Abstract: The agricultural sector is witnessing a growing utilisation of machine learning (ML) across a range of applications, including yield prediction, crop classification, disease detection, pest monitoring, irrigation management, and soil analysis. ML algorithms can analyse large volumes of data generated from various sources such as remote sensing, weather stations, and soil sensors to provide insights and recommendations that can improve the efficiency and productivity of agricultural systems. The use of AI and deep learning techniques in agriculture has shown promising results in improving crop productivity, disease and pest detection, soil analysis, and irrigation management. In this article, a survey of deep learning and artificial intelligence techniques in agriculture is presented to provide valuable insights into the latest advances and applications. Finally, a conclusion regarding open challenges, and directions for future research are presented. Deep learning and AI have the potential to revolutionise the way we approach agriculture, leading to more efficient and sustainable: 1) crop yield prediction; 2) weed and pest detection; 3) disease detection; 4) precision agriculture; 5) robotic farming. Overall, the use of deep learning and AI in agriculture has the potential to improve efficiency, reduce waste, and increase productivity, leading to a more sustainable and profitable agricultural industry.

Online publication date: Mon, 29-Apr-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agriculture Innovation, Technology and Globalisation (IJAITG):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com