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About Wheat Crop Yield Prediction Using Deep LSTM Model
This document summarizes a research paper that proposes using a deep LSTM model to predict wheat crop yields in India from satellite imagery. The model works directly on raw satellite images without extracting handcrafted features. It can implicitly model the relevance of different growing steps and image bands. The model is evaluated on predicting wheat yields at the tehsil (block) level across several Indian states, and outperforms existing methods by over 50%. Incorporating additional contextual data like land use classifications helps improve predictions further.
Detailed Information
| Author: | ['Endalew Simie'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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