Alternatives and similar repositories for Crop_Yield_Prediction

Users that are interested in Crop_Yield_Prediction are comparing it to the libraries listed below

• rudolfwilliam / satellite_image_forecasting
  Models for the EarthNet2021 challenge.
  ☆46Updated 10 months ago
• DynaSlum / satsense
  Satsense is a Python library for land use/cover classification using satellite imagery
  ☆24Updated 5 years ago
• AnnaXWang / deep-transfer-learning-crop-prediction
  Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.
  ☆65Updated 6 years ago
• ESA-PhiLab / eo4ai
  Earth Observation dataset preprocessing tools for Deep Learning
  ☆39Updated 10 months ago
• AI4EO / enhanced-sentinel2-agriculture-challenge
  Starter-pack for the AI4EO Food Security Challenge
  ☆21Updated 2 years ago
• nasaharvest / kenya-crop-mask
  Annual and in-season crop mapping in Kenya
  ☆23Updated 4 years ago
• michaeltrs / DeepSatData
  Automatically create machine learning datasets from satellite images
  ☆42Updated 3 years ago
• ESA-PhiLab / NGVEO
  Deep learning for Earth Observation
  ☆54Updated 11 months ago
• mani-shailesh / satimage
  Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"
  ☆37Updated 7 years ago
• zia207 / Deep-Neural-Network-with-keras-Python-Satellite-Image-Classification
  Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification
  ☆37Updated 7 years ago
• karimmamer / CropDetectionDL
  ☆52Updated last year
• 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…
  ☆59Updated 3 years ago
• MarcCoru / MTLCC
  Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication
  ☆107Updated 3 years ago
• meet-sapu / Crop-Yield-Prediction-Using-Satellite-Imagery
  ☆58Updated 6 years ago
• spaceml-org / RaVAEn
  Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board
  ☆54Updated last year
• AI4EO / tum-planet-radearth-ai4food-challenge
  Starter pack for the AI4Food challenge organised by TUM/DLR, Planet and Radiant Earth
  ☆34Updated 2 years ago
• lhalloran / LandSurfaceClustering
  Land surface classification using remote sensing data with unsupervised machine learning (k-means).
  ☆34Updated 5 years ago
• shakasom / Deep-Learning-for-Satellite-Imagery
  Deep learning courses and projects
  ☆95Updated 6 years ago
• tavgreen / landuse_classification
  Land Use Classification using Convolutional Neural Network in Keras
  ☆51Updated 8 years ago
• tchambon / DeepSentinel
  Deep learning pretrained model on satellite imagery (Sentinel-2)
  ☆80Updated 5 years ago
• lukaskondmann / DENETHOR
  ☆56Updated 2 years ago
• FrontierDevelopmentLab / multi3net
  Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery
  ☆61Updated 6 years ago
• deepankverma / slums_detection
  Slums detection through VHR and MR imagery
  ☆14Updated last year
• krisrs1128 / glacier_mapping
  Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.
  ☆38Updated last year
• gicait / DL-for-satellite-image-analysis
  This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
  ☆98Updated 3 years ago
• ellaampy / CropTypeMapping
  ☆35Updated 2 years ago
• ESA-PhiLab / OST_Notebooks
  ☆32Updated 6 months ago
• JohnMBrandt / capsule-attention-networks
  State-of-the-art crop type classification with Sentinel 2 imagery
  ☆21Updated 6 years ago
• JohMast / ImageFusion
  A package for the fusion of Remote Sensing imagery
  ☆31Updated 3 months ago
• developmentseed / satTS
  ML pipeline to classify crop types with multi-spectral and multi-temporal EO data
  ☆19Updated 6 years ago