Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

<Previous Article In Volume
Next Article In Volume>

Crop Prediction Using Machine Learning and Artificial Neural Network

Authors
Tanya Saraswat1, *
1Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Noida, India
*Corresponding author. Email: saraswat.tanya24@gmail.com
Corresponding Author
Tanya Saraswat
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_43How to use a DOI?
Keywords
Agricultural Sector; Crop Prediction; Deep Learning; Machine Learning
Abstract

Agriculture Sector being most vital parts of every Nation. The production of a crop mostly relies on numerous features and result is relied on the end yield and on the selling rate of that crop. In today’s world there is a growth of countless technologies which can predict the growth of a crop on a regular basis, what must be added in that type of soil to make it more productive on-the-basis of study of that region. Crop Prediction using Deep Learning methods is indeed an upcoming challenge in the field of Agriculture.

Deep Learning would increase the efficiency of the workforce, a huge amount of time would be spending in learning analytics, therefore increasing one’s concentration leading to predicative analytics also there would be personalized learning, the dependency on others would slowly start to terminate. The main aim of this paper is to focus on crop prediction by using numerous algorithms of machine as well as deep learning, and then to draw a comparison on the results and other performance measure of the different algorithms of Machine Learning and Deep Learning.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-196-8_43
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_43How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Tanya Saraswat
PY  - 2023
DA  - 2023/08/10
TI  - Crop Prediction Using Machine Learning and Artificial Neural Network
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 561
EP  - 568
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_43
DO  - 10.2991/978-94-6463-196-8_43
ID  - Saraswat2023
ER  -