# Crop recommendation and forecasting system for Maharashtra using machine learning with LSTM: a novel expectation-maximization technique

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/crop-recommendation-and-forecasting-system-for-maharashtra-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yashashree Mahale,Nida Khan,Kunal Kulkarni,Shivali Amit Wagle,Preksha Pareek,Ketan Kotecha,Tanupriya Choudhury,Ashutosh Sharma |
| Citations | 35 |
| DOI | 10.1007/s43621-024-00292-5 |
| Fields | Agricultural and Biological Sciences,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://link.springer.com/content/pdf/10.1007/s43621-024-00292-5.pdf |
| OpenAlex ID | https://openalex.org/W4400128594 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shivali Amit Wagle](https://scholariq.org/researchers/shivali-amit-wagle/)

## Paper journal

- [Discover Sustainability](https://scholariq.org/journals/discover-sustainability/)

## 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/)
- [Agricultural Economics and Practices](https://scholariq.org/topics/agricultural-economics-and-practices/)

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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.