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1. -sugarcane-yields-estimates-sugarcane-yields-estimatesPublic

   Use of Regression, Random Forest and Neural Network algorithms (LSTM and Bi-LSTM) in predicting sugarcane yields.

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2. TimeSeries_Futures_Sugar_MarketTimeSeries_Futures_Sugar_MarketPublic

   Time series prediction models such as ARIMA, LSTM, and Prophet to predict sugar prices in the futures sugar market

   1

3. Diagnoses_Hyperspectral_of_Physiological_Status_of_SoybeansDiagnoses_Hyperspectral_of_Physiological_Status_of_SoybeansPublic

   Digital Solution - Stress Detection: Diagnosis of the Physiological Status of Soybean Crop through Hyperspectral Images

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4. IMEA-Crop_DATAIMEA-Crop_DATAPublic

   Python 2

5. Remote_sensing_Vegetation_indexRemote_sensing_Vegetation_indexPublic

   Remote Sensing Digital Satellite Image Processing with Python

   1

6. CONAB-Agricultural-Inputs_Data-ExtractCONAB-Agricultural-Inputs_Data-ExtractPublic

   Python 1