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crop-yield-prediction-using-satellite-imagery's Introduction

Yield-Prediction-Using-Sentinel-Data

The motive here is to predict the yield of crops of a particular farm by the change in pixels of the image of farm yearly . The satellite data used is of sentinel , sentinel is a launched by European Space Agency and the data is open source .

  1. Sentinel Image Products Scraping - The script in this folder scraps a patch of land containing our farm of interst , this scripts automatically scraps all the images through out the year .

  2. Preprocessing and Cropping - The script in this folder will crop the farm which we need to analyze according to coordinates provided by the user and also does feature engineering on the cropped images .

  3. Tensorflow Model - The script in this folder has the algorithm , it is still under testing ang the algorithm is somewhat similar to algorithm from this paper : https://cs.stanford.edu/~ermon/group/website/papers/jiaxuan_AAAI17.pdf.

In the above mentioned paper the data used is of NASA which is of low resolution as compared to that Sentinel .

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