首页|Studies from Sao Paulo State University (UNESP) Provide New Data on Machine Lear ning (Dry mass grassland estimation using UAV ultra-wide RGB images)
Studies from Sao Paulo State University (UNESP) Provide New Data on Machine Lear ning (Dry mass grassland estimation using UAV ultra-wide RGB images)
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 DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Sao Paulo, Brazil, by NewsRx correspondents, research stated, “Dry mass is an importantparameter to optimise grassland management. Traditionally, dry mass values are estimated manu ally bycutting, drying, and weighing vegetation samples.”
Sao Paulo State University (UNESP)Sao PauloBrazilSouth AmericaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
