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EOSDA Gets First Ready-to-Use Images From The EOS SAT-1 Satellite
EOS SAT-1, the initial small optical satellite of the first agri-focused satellite constellation launched by EOS Data Analytics, sent its first ready-to-use images of the Earth.
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Types Of Fertilizers And How To Pick The Right One
Different types of fertilizers have different application characteristics and effects on plant development. Let's look at the specifics so that you can choose wisely.
Growing Alfalfa: Cultivation Tips For Successful Farming
Growing alfalfa for profit may seem simple at first glance — seed once, harvest many times — but doing so successfully requires knowledge of crop growth factors and proper timing of field operations.
Enabel Helps African Farmers By Using SatTech
Enabel assists farmers in Africa in building a thriving and sustainable future by employing satellite imagery analytics offered by EOSDA Crop Monitoring.
EOSDA Confirms EOS SAT-1 Satellite Data Validity
Ground measurements in Ukraine have confirmed the data validity of EOSDA's EOS SAT-1 satellite. The tests used the SunScan device and showed a strong correlation between ground and satellite data, validating the satellite's capabilities.
Cotton Growing: Proper Conditions And Smart Cultivation
Cotton growing has immense economic value, but unsustainable methods put the industry's viability in doubt. Let's learn how to make cultivation more sustainable without compromising farmers' income.
Complete Farmer Connects 5,000+ Farmers To SatTech
Complete Farmer harnesses satellite imagery analytics through the EOSDA Crop Monitoring API, fostering a thriving network of farmers across Africa, leading to remarkable improvements in crop yields.
Crop Residue Management To Improve Soil Fertility
The future of sustainable food production requires smart crop residue management. Gain a deeper understanding of these modern management approaches, their benefits, and implementation aspects.
EOSDA Crop Monitoring Gets Disease Risk Analytics
EOSDA Crop Monitoring now includes a Disease Risk feature that enables the dynamic assessment of biotic and abiotic stress factors in plants, thereby facilitating precision agriculture practices.
EOSDA Custom Neural Net: Deforestation Detection
The Science team at EOS Data Analytics has developed a custom algorithm for intelligent detection and tracking of deforestation in tropical regions using LEO satellite images as a data source.