Alternatives and similar repositories for Deep-Transfer-Learning-Crop-Yield-Prediction

Users that are interested in Deep-Transfer-Learning-Crop-Yield-Prediction are comparing it to the libraries listed below

• AnnaXWang / deep-transfer-learning-crop-prediction
  Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
  ☆66Updated 6 years ago
• agr-ayush / Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification
  LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…
  ☆60Updated 3 years ago
• jdiaz4302 / ConvTimeLSTM
  Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing
  ☆22Updated 5 years ago
• leizhang-geo / CNN-LSTM_for_DSM
  Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic c…
  ☆74Updated last year
• openclimatefix / predict_pv_yield
  Using optical flow & machine learning to predict PV yield
  ☆53Updated 2 years ago
• cleipski / CropPredict
  Prediction of crop yields using machine learning.
  ☆61Updated 2 years ago
• nisyad / ConvLSTM-precipitation
  ConvLSTM for short-term precipitation forecasting.
  ☆22Updated 6 years ago
• shishirdas / Rain-Fall_Data_Analysis_Using_Data_Science
  Context Rainfall is very crucial things for any types of agricultural task. Climate related data is important to analyse agricultural and…
  ☆24Updated 6 years ago
• leelew / CLSTM
  Causality-structured LSTM (source code of "Causality-Structured Deep Learning for Soil Moisture Predictions", Journal of Hydrometeorology…
  ☆22Updated 2 years ago
• gcosne / OceanographyProject
  Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low …
  ☆13Updated 5 years ago
• cadrev / lstm-flood-prediction
  Applying LSTM on river water level data
  ☆33Updated 8 years ago
• saeedkhaki92 / Yield-Prediction-DNN
  This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.
  ☆48Updated 2 years ago
• cranedroesch / ML_yield_ERL
  Code for replicating "Machine learning methods for crop yield prediction and climate change impact assessment in agriculture", Environmen…
  ☆20Updated 6 years ago
• paulo-o / forecast_rodeo
  ☆38Updated 6 years ago
• jlbeidler / emisqa
  Python-based air emissions QA and reporting tool for CMAQ and CAMx model ready emissions inputs.
  ☆14Updated 2 years ago
• gauchm / mts-lstm
  Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network
  ☆37Updated 4 years ago
• ECMWFCode4Earth / ml_flood
  Machine learning to predict floods
  ☆68Updated 4 years ago
• rudolfwilliam / satellite_image_forecasting
  Models for the EarthNet2021 challenge.
  ☆46Updated 3 weeks ago
• GMfatcat / ConvLSTM-CNN-for-tropical-cyclone
  Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity
  ☆38Updated 3 years ago
• binh-bk / air-quality-analysis
  Jupyter notebooks and Python code for analyzing air quality (fine particle, PM2.5)
  ☆37Updated 4 years ago
• Kalit31 / Land-Cover-Analysis
  Land Cover Change Detection using Satellite Image Segmentation.
  ☆50Updated 8 months ago
• gabrieltseng / pycrop-yield-prediction
  A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
  ☆190Updated 3 years ago
• AtrCheema / AI4Water
  framework for developing machine (and deep) learning models for structured data
  ☆71Updated 5 months ago
• leomuckley / Multi-Input-ConvLSTM
  TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.
  ☆18Updated 3 years ago
• meet-sapu / Crop-Yield-Prediction-Using-Satellite-Imagery
  ☆58Updated 6 years ago
• CLIMADA-project / climada_papers
  ☆36Updated 6 months ago
• ECMWFCode4Earth / aq-biascorrection
  Bias correction of air quality CAMS model predictions by using OpenAQ observations.
  ☆11Updated 4 years ago
• nram812 / A-Robust-Generative-Adversarial-Network-Approach-for-Climate-Downscaling
  Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"
  ☆11Updated last year
• MarcCoru / crop-type-mapping
  Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
  ☆163Updated last year
• luna983 / air-quality-machine-learning
  Using machine learning to recover air quality data from remote sensing datasets.
  ☆13Updated 5 years ago