# AI-Based Cascaded AutoEncoder-Convolutional Neural Network Model for Accurate Crop Yield Prediction Using Remote Sensing and Climate Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-based-cascaded-autoencoder-convolutional-neural-network-model-for-accurate/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vivek Parashar,C. Naga Swaroopa,Shambhu Sharan Srivastava,P. A. Spoorthi,B. Swapna,Lakshmana Phaneendra Maguluri |
| Citations | 0 |
| DOI | 10.1201/9781003642145-13 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7154937706 |
| Type | book-chapter |
| Year | 2026 |

## Paper authors

- [B. Swapna](https://scholariq.org/researchers/b-swapna/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)

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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.