# Review of Machine Learning Model Applications in Precision Agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/review-of-machine-learning-model-applications-in-precision-agriculture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | P. Baburao,Rushil Kulkarni,Pramod A. Kharade,Suchita S. Patil |
| Citations | 6 |
| DOI | 10.2991/978-94-6463-136-4_81 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.atlantis-press.com/article/125986347.pdf |
| OpenAlex ID | https://openalex.org/W4367591038 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [P. Baburao](https://scholariq.org/researchers/p-baburao/)
- [Suchita S. Patil](https://scholariq.org/researchers/suchita-s-patil/)

## Paper journal

- [Advances in computer science research](https://scholariq.org/journals/advances-in-computer-science-research/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.