Study Data from North-West University Provide New Insights into Machine Learning (Wheat Crop Genotype and Age Prediction Using Machine Learning With Multispectr al Radiometer Sensor Data)
Study Data from North-West University Provide New Insights into Machine Learning (Wheat Crop Genotype and Age Prediction Using Machine Learning With Multispectr al Radiometer Sensor Data)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Potchefstroo m, South Africa, by NewsRx correspondents, research stated, “Wheat (Triticum aes tivum) yield predictions can be improved by using multispectral remote sensing t o identify different genotypes and crop growth stages. We propose an innovative machine learning technique aimed at classifying diverse wheat crop genotypes and providing accurate estimations of plant age.” Financial support for this research came from Deanship of Graduate Studies and S cientific Research, Taif University.
Key words
Potchefstroom/South Africa/Africa/Cyb orgs/Emerging Technologies/Genetics/Machine Learning/Remote Sensing/North-W est University
NETL
NSTL