Case study
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Stimulating Cotton Growth In Uzbekistan
Global Textile has been successfully utilizing EOSDA Crop Monitoring for over two years to obtain information about the vegetative development and help take care of their farmers’ cotton fields.
Change And Flood Detection In Northern Kazakhstan
Data scientists at EOS Data Analytics have validated a proof-of-concept project by training a custom neural net for predicting seasonal floods in one of the Kazakhstan regions.
Space Monitoring For Green Plantains In Rainfall Season
A new triple-impact enterprise in Nicaragua FINCATECH has committed to promoting sustainable digital agriculture by implementing EOSDA Crop Monitoring and turning satellite data analytics into actionable recommendations.
How Farmers Help Corn Crops Tackle Droughts In Iowa
In this environmental case, EOS Data Analytics takes a look at the ways farmers in Iowa, the leading state in corn crops, can mitigate the effects of prolonged droughts on yield.
Crop Classification And Field Boundaries In Kyrgyzstan
In a custom project, EOS Data Analytics trained a neural network model to perform crop classification of arable and non-arable land in Kyrgyzstan with active agriculture production.
Satellite Imaging For Microbiological Crop Solutions
Koppert, the input supplier of microbiological solutions for precision agriculture, communicates the benefits of sustainable development by using space imagery and analytics from EOSDA Crop Monitoring.
Lightning Data Analysis For Validating Hail Claims
The EOSDA science team carried out the custom solution entailing the analysis of lightning data to define the occurrence of hail for nine fields. An insurance company used the results to make decisions regarding farmer claims.
How Gold Mining In Brazil Destroys Local Nature
The Munduruku people in the state of Pará, Brazil, are suffering from the detrimental effects of gold mining that poisons the soil and local rivers. In this case study, EOSDA assessed the scale of the problem from space.
Forecasting Tobacco And Cotton Yields With WOFOST
EOSDA scientists implemented the custom project of predicting yields for cotton and tobacco fields in two districts of Azerbaijan — Shaki and Samirabad.