Essence of Deep Learning Techniques in Evolving Agriculture Technology Society

Simar Singh Rayat; Sujal Thapa; Chandradeep Bhatt; Noor Mohd

doi:10.2991/978-94-6239-674-6_8

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Essence of Deep Learning Techniques in Evolving Agriculture Technology Society

Authors

Simar Singh Rayat¹, Sujal Thapa¹^{, *}, Chandradeep Bhatt¹, Noor Mohd²

¹Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, India

²Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India

^*Corresponding author. Email: dev.sujalthapa@gmail.com

Corresponding Author

Sujal Thapa

Available Online 28 May 2026.

DOI: 10.2991/978-94-6239-674-6_8 How to use a DOI?
Keywords: Deep Learning; LSTM; ANN; Tensor flow
Abstract: In recent times, many modern techniques have arrived, one most popular Deep learning. This highly use in image processing and data analysis. With the up-coming time, it has even bigger scope and potential use in future. As currently even it has a part of various and spread fields. Here by study-document an evectional study of 36 research documents of application for deep learning. this paper has analyzed the specific issues which arises in production of food in agriculture sector. this paper has gone through, framework and models, nature, preprocessing-of-the-data used, and allover performance got as per metrics use in specific case of study. Further this paper goes through comparative study of deep learning with similar present and famous methods, performed for classification or regression in our work. The results this paper get shows that by using deep learning this paper can receive high amount of accuracy and performance, frequently use in image processing methods.
Copyright: © 2026 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.

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Volume Title: Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
Series: Advances in Engineering Research
Publication Date: 28 May 2026
ISBN: 978-94-6239-674-6
ISSN: 2352-5401
DOI: 10.2991/978-94-6239-674-6_8 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Simar Singh Rayat
AU  - Sujal Thapa
AU  - Chandradeep Bhatt
AU  - Noor Mohd
PY  - 2026
DA  - 2026/05/28
TI  - Essence of Deep Learning Techniques in Evolving Agriculture Technology Society
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 80
EP  - 86
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_8
DO  - 10.2991/978-94-6239-674-6_8
ID  - Rayat2026
ER  -

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