editedbook

ARTIFICIAL INTELLIGENCE IN AGRICULTURE

Area/Stream: Artificial Intelligence,
Authors: Jonalee Barman Kakati
Keywords: agriculture, artificial intelligence, drones, image processing, deep learning
Book Name /series: Futuristic Trends in Artificial Intelligence,Volume 2, Book 16, Chapter 12
Publication: IIP Proceedings

Year: 2022,
Month: November

Page No: 124-130,
ISSN/ISBN: 978-93-95632-70-6,
DOI/Link: https://rsquarel.org/assets/docupload/rsl2023BCB8D6806183A79.pdf


Abstract:

India is an agricultural country. Agriculture is the primary occupation of more than half of the population in the country. From the time agriculture was started as a means for survival of human being, it has transformed in various ways over the time and the pace has rapidly increased in the last one decade due to globalization and technological advancement. The population of the world is increasing and there is long way to go to make this planet hunger free. Population growth, climatic changes and the reducing resources have put agriculture under tremendous pressure. Artificial intelligence has found its implementation in various sectors like healthcare, finance, manufacturing, marketing and others to overcome the traditional challenges and boost productivity. To ensure food security to the growing population, more efficient farming practices should be adopted using the recent technological advancements in the field of artificial intelligence. Artificial intelligence has the potential to drive an agricultural revolution to produce more food using fewer resources. This paper deals with how artificial intelligence has been adopted in agriculture to solve the challenges faced by farmers. Computer vision has found its applications in almost all fields and agriculture is one of them. The use of the advanced technologies in the ago industries is essential. In this paper the challenges faced in traditional method of farming and how smart farming can be helpful for the growth and sustainability of agriculture has been discussed.

Cite this: Jonalee Barman Kakati,"ARTIFICIAL INTELLIGENCE IN AGRICULTURE", Futuristic Trends in Artificial Intelligence,Volume 2, Book 16, Chapter 12, November, 2022, 124-130, 978-93-95632-70-6, https://rsquarel.org/assets/docupload/rsl2023BCB8D6806183A79.pdf
Views: 4172 Download File
News

Index your research paper @ RSquareL

Call for research papers evaluation 

Get listed your profile under listing based on your RSquareL Value

Registration for Indexing Author Journal Publisher Conference Organizer
Research Recognition & Listing Young Researcher Young Achiever Research Excellence

Contact Us

RSquareL is the indexing platform developed by Global Academicians & Researchers Network (GARNet.). RSquareL is the abstract database of peer-reviewed scientific journals, books, and conference proceedings that covers research topics across all scientific, technical, and medical disciplines.

Contact Details

Contact Email: publish@rsquarel.org
Write to Us: Click Here
Counter Start Date: 27-12-2021 Flag Counter

© 2024 RSquareL