#CropClassification

Super excited to share that our latest research on boosting #CropClassification with #SatelliteData is finally out in #RemoteSensingOfEnvironment 🚀🌾 Look into our findings on improving accuracy in agricultural monitoring ⏩

#IJGIHighlyViewedPaper "#PolarimetricTargetDecompositions and Light Gradient Boosting Machine for #CropClassification: A Comparative Evaluation" by @mustuner2 and @FusunBalikSanli #ensemblelearning

🌱Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images by Reenul Reedha, Eric Dericquebourg, Raphael Canals and Adel Hafiane #CropClassification #NeuralNetwork #UAV

#MostCited 🌾Early #CropClassification via Multi-Modal #Satellite #DataFusion and Temporal Attention by Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler and Jona Welsch #agriculture

A Practical Guide for Creating A Quality #SatelliteImagery Dataset for Agriculture Use Cases. 10 lessons learned from our #cropclassification project with the #UN World Food Programme in Nepal. 👉 The full guide: @KirkDBorne @NASEM_Ag @mustuner2 #ml

#mostcited 🌾Early #CropClassification via Multi-Modal #Satellite Data Fusion and Temporal Attention by Frank Weilandt, Robert Behling, Romulo Goncalves, Arash Madadi, Lorenz Richter, Tiago Sanona, Daniel Spengler and Jona Welsch #agriculture #vegetation

#LatestPaper 📢Early-Season #CropClassification Based on Local Window Attention Transformer with Time-Series RCM and #Sentinel-1 by Xin Zhou, Jinfei Wang, ,Bo Shan and Yongjun He #agriculture

An informative piece by our CTO Vivek Singh on "#CropClassification using #MachineLearning for Precision #Agriculture", which we are already using at @SkymetWeather. Explore our latest digital product @skAIgeo for free: #agtech #remotesensing #geospatial

An informative piece by our CTO Vivek Singh on "#CropClassification using #MachineLearning for Precision #Agriculture", which we are already using at @SkymetWeather. Read 👉 #agtech #technology #AIML #remotesensing #geospatial #technologynews #Farming

Don't miss our free webinar hosted by Brijesh Thoppil, Director of Strategic Partnerships, on September 20, 2022, at 4 PM BST! Learn about topics such as the UK’s #ag industry, #SatelliteTech for farming, #CropClassification and more:

Want to know how an #NLP language model with some clever modifications is able to perform #cropclassification with over 90% precision? Read about it in our #BlogPost written by our ML scientist Tiago Sanona.

#cropclassification from EOS Crop Monitoring identifies #crop types in your field, making analytics more precise. EOSDA clients are already planning #ag operations for yield estimation, #CropRotation accounting, and soil productivity. Request a #demo:

Fusion of #MachineLearning and #RemoteSensing to deliver a #cropclassification maps in Vojvodina! If that sounds like challenge, read more about this topic in the blog written by our researcher Branislav Pejak! 😊 #datadragon_eu #ESA #copernicus #sentinel

Don't miss our free webinar hosted by Brijesh Thoppil, Director of Strategic Partnerships, on September 20, 2022, at 4 PM BST! Learn about topics such as the UK’s #ag industry, #SatelliteTech for farming, #CropClassification and more:

Object-Based #CropClassification with #Landsat-MODIS Enhanced Time-Series Data #TimeSeries #RemoteSensing

📢 At the #GeoAI event our Dr. Odysseas Sekkas, Head of Technical Project Management, presented how #MachineLearning methods are used for #CropClassification in the @scale_ag_data project’s #Research #Innovation Lab for #CropManagement. #ScaleAgData #BigData #NEUROPUBLIC

I will digitize this image to create ground shape files via below reference. I hope some agencies share recent free benchmark data with labels for #cropclassification of PolSAR data. Thank you @NASAJPL @ESA_EO @SistersofSAR @SARevangelist @EricFielding @HamedAlemo @mrslab_iitb

Happy to share our recently published research article in IEEE International Conference on Image Processing (ICIP), 2021 by the team of Researchers of National Agricultural Robotics Lab (NARL) in @LifeAtLUMS. #CropClassification #CNN #RemoteSensing

Added Value of Quad-Pol Data in #CropClassification Framework Based on #RADARSAT-2 Imagery

EOSDA provides its clients with much more than a #PrecisionAgriculture tool. Tune in to our webinar TODAY with Brijesh Thoppil, to find out everything about custom #agritech solutions - including #CropClassification, #YieldPrediction and more: