Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Artificial Intelligence Applications in Guava Cultivation: A Comprehensive Review for Yield Improvement in India’s Tropical Belt

Authors
Archana V. Dirgule1, Amarsinh V. Vidhate2, Archana R. Pakhare3, *, Tukaram A. Chavan4
1Ramrao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi Mumbai, India
2Ramrao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi Mumbai, India
3School of Computing, MIT–ADT University, Pune, India
4Shree Siddheshwar Women’s College of Engineering, Solapur, DBATU, Lonere, India
*Corresponding author. Email: archana.pakhare@mituniversity.edu.in
Corresponding Author
Archana R. Pakhare
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_28How to use a DOI?
Keywords
Precision agriculture; Artificial Intelligence; Machine Learning; Computer Vision; Deep Learning; Convolutional Neural Network; YOLO; Soil Nutrient; Fruit Counting
Abstract

The growing population of the world is increasing tension of our agriculture system. The Tension is forcing us to provide more and more food. But the resources are becoming fearful. Urbanisation is growing so fast that the land worth growing crop is being occupied by the cities and water problem is becoming fearful. To ensure the food security to the growing population we have to boost the productivity on the land available with us now. When we increase the productivity, we make a nutritious crops more affordable and more available. We have to reduce dependence on imports. This will make our nation strongly, self sufficient. There are challenge to face like dropped droughts, floods and degradation of soil. So it need as precision agriculture and farming with the help of AI and IOT, so that there will be long lasting improvement in yielding. If we want to remove hunger and poverty permanently, we have to increase the rate of agriculture production; to support the food processing industries to increase the jobs in rural areas.

Copyright
© 2025 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 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_28How to use a DOI?
Copyright
© 2025 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  - Archana V. Dirgule
AU  - Amarsinh V. Vidhate
AU  - Archana R. Pakhare
AU  - Tukaram A. Chavan
PY  - 2025
DA  - 2025/12/31
TI  - Artificial Intelligence Applications in Guava Cultivation: A Comprehensive Review for Yield Improvement in India’s Tropical Belt
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 305
EP  - 321
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_28
DO  - 10.2991/978-94-6463-978-0_28
ID  - Dirgule2025
ER  -