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README.md

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@@ -2159,18 +2159,6 @@ Crop yield is a crucial metric in agriculture, as it determines the productivity
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- [Deep-Transfer-Learning-Crop-Yield-Prediction](https://github.com/sustainlab-group/Deep-Transfer-Learning-Crop-Yield-Prediction)
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- [Crop-Yield-Prediction-using-ML](https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML) -> A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
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- [Building a Crop Yield Prediction App in Senegal Using Satellite Imagery and Jupyter Voila](https://omdena.com/blog/yield-prediction/)
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- [Crop Yield Prediction Using Deep Neural Networks and LSTM](https://omdena.com/blog/deep-learning-yield-prediction/)
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- [Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018](https://github.com/AnnaXWang/deep-transfer-learning-crop-prediction)
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- [Understanding crop yield predictions from CNNs](https://github.com/brad-ross/crop-yield-prediction-project)
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- [Advanced Deep Learning Techniques for Predicting Maize Crop Yield using Sentinel-2 Satellite Imagery](https://zionayomide.medium.com/advanced-deep-learning-techniques-for-predicting-maize-crop-yield-using-sentinel-2-satellite-1b63ac8b0789)
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- [pycrop-yield-prediction](https://github.com/gabrieltseng/pycrop-yield-prediction) -> Deep Gaussian Process for Crop Yield Prediction
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- [PredictYield](https://github.com/dberm312/PredictYield) -> using data scraped from Google Earth Engine, this predicts the yield of Corn, Soybean, and Wheat in the USA with Keras

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