Top Tweets for #CropType
Check out our new paper on #croptype classification using high-resolution #PlanetScope imagery and #VariationalBayesianGaussianMixture Model. Great work by my collaborator Minh Tri Le @GeorgeMasonU and other collaborators from @NASAAmes, @ColoradoStateU, @ChapmanU, @Uni_WUE
For Essential products, algorithms exist, making it feasible to begin generating products systematically. Desirable (eg. #croptype, #emissivity) and Aspirational (eg. crop yield, #forestrecovery 👇 & structure) products are also identified. All products require quality assurance.
#mostcited
📢Designing a European-Wide #CropType Mapping Approach Based on #MachineLearning Algorithms Using LUCAS Field Survey and #Sentinel2 Data by Babak Ghassemi, Aleksandar Dujakovic, Mateusz Żółtak, Markus Immitzer et al
👉 Read the full article: https://t.co/gjDhYX3foT
#highlycitedpaper
Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network
https://t.co/BqT3v2HG6C
@UCAS1978
#CropType #CrowdsourcedRoadViewPhoto
@openEO_Platform @EO_OPEN_SCIENCE @ESA_EO @jeroen_dries @jurgeneveraerts @dennisclarijs @VITO_RS_ @BelgianEO @open_EO @earsc @CopernicusEU 📢 Last chance to register for our #openEO webinar!
@jeroen_dries will explain how to use the @openEO_Platform to process a wide variety of #EOdata incl. examples on how to create an EU #croptype map or a dynamic #landcover map!
🗓️27/9
⏰16:00-16:45
✍️https://t.co/kylyqy2t0q
Why irrigation planning is needed!
*Reduces #WaterWastage and #Overirrigation
*Provide enough water to different #soilsconditions and #croptype across the field
*Efficient use of water resources through #PrecisionAg
@ObadicIvica is giving his first in-person conference talk @helmholtz_ai #HelmholtzAIcon since the start of his PhD in my lab - #XAI in #EarthObservation time series data analysis with the application in #croptype classification #AI4FoodSecurity #AI4EO @Zhu_XLab @ai4eo_de
"Science for Society": @vista_geo presenting the Food Security TEPs capabilities on #Sentinel-2 processing and #CropType Mapping using #DL Deep Learning at ESAs #LPS22. #EO of #LAI are feeding model simulations to asses #waterstress + #irrigation + #yield at #Danube #catchment
Available on #RadiantMLHub: 2019 Mali #CropType Training Data from our friends, @NASAHarvest!
This open-access dataset includes crop type labels w/ a time-series of #Sentinel imagery during the growing season. Ground reference data collected via @getodk
🔗https://t.co/rLrly1RIBy
New to #RadiantMLHub is the 2019 Mali #CropType Training Data from our friends, @NASAHarvest!
This open-access dataset includes crop types labels w/ a time-series of #Sentinel imagery during the growing season. Ground reference data collected via @getodk: https://t.co/rLrly1RIBy
ESA worked with @tudelft to develop Agricultural Sandbox NL tool, using #Copernicus #Sentinel1 & #Sentinel2 data in synergy. Nationwide maps of #Land over a whole year were created, showing #CropType, #CropHealth indicators and growth at parcel level. See: https://t.co/Xv5wAx1zvu
#TutorialTuesday Learn how @roserustowicz et al developed the 1st #croptype semantic segmentation #dataset of small holder farms using high-quality #data in #Africa. Apply this use-case for your own #ML model today by accessing the data on #RadiantMLHub! https://t.co/92UQTVZ58T
The “J-SC PC-Plus Dripper” by #JainIrrigation available in various water discharge requirements considering #SoilType & #CropType
#FarmersFirstChoice👨🏻🌾
@JainTissueCrops #Irrigation #Agriculture #Horticulture #Orchards #Farming #JISL
We've developed a Crop Type Classification tool that uses state-of-the-art #machinelearning techniques to provide monthly in-season crop data, regardless of cloud cover.
Interested? Contact the sales team at [email protected]
#croptype #agrifood #sugarbeet #foodtech
The “Jain Turbo key Plus Drippers” are designed to suit various crops according to water discharge requirements considering #SoilType & #CropType
#FarmersFirstChoice👨🏻🌾
#BetterYieldGreaterProfits #Irrigation #Agriculture #Horticulture #Orchards #Farming #JISL
We worked on #CropType classification for the Region of #Thessaly.
Our #DeepLearning algorithms attained a #classification accuracy of 92.1% & our web-viewer shows the results according to the traffic light system.
#CropClassification #EarthObservation #RemoteSensing
Nearly 50 yrs of #Landsat #continuity have empowered us to understand #wateruse, inform #irrigation, create #cropland #croptype #maps, monitor #landuse, assess #conservationag impacts, & much more. Thanks @NASA_Landsat @USGSLandsat for the #goldstandard
https://t.co/fzzUn4IHrt
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