首页|Study Data from University of Idaho Update Knowledge of Support Vector Machines [Using Hyperspectral Signatures for Predicting Foliar Nitroge n and Calcium Content of Tissue Cultured Little-leaf Mockorange (philadelphus Mi crophyllus A. ...]
Study Data from University of Idaho Update Knowledge of Support Vector Machines [Using Hyperspectral Signatures for Predicting Foliar Nitroge n and Calcium Content of Tissue Cultured Little-leaf Mockorange (philadelphus Mi crophyllus A. ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Support Vector Machines is now available. According to news reporting out of Moscow, Idaho, by NewsRx e ditors, research stated, "Determining foliar mineral status of tissue cultured s hoots can be costly and time consuming, yet hyperspectral signatures might be us eful for determining mineral contents of these shoots. In this study, hyperspect ral signatures were acquired from tissue cultured little-leaf mockorange (Philad elphus microphillus) shoots to determine the feasibility of using this technolog y to predict foliar nitrogen and calcium contents." Funders for this research include USDA National Institute of Food and Agricultur e, Hatch/Evans project, USDA National Institute of Food and Agriculture, under t he Hatch/Evans project, Idaho Agricultural Experiment Station, Nursery Advisory Committee of the Idaho State Department of Agriculture.
MoscowIdahoUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNitrogenSupport Vect or MachinesVector MachinesUniversity of Idaho
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