首页|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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
PotchefstroomSouth AfricaAfricaCyb orgsEmerging TechnologiesGeneticsMachine LearningRemote SensingNorth-W est University
NETL
NSTL
