A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging
Andrés Aguilar-Ariza, Naoyuki Sotta, Toru Fujiwara, Wei Guo, Takehiro Kamiya
Abstract
) for elements such as Mn, Cu, Co, Fe, and Mg by 12.5%, 10.3%, 11%, 10%, and 8.4%, respectively. Hence, our multi-target method can improve the accuracy of predicting 10-element concentrations compared to single-target regression.
Topics & Concepts
Hyperspectral imagingRegressionArtificial intelligencePattern recognition (psychology)Regression analysisRemote sensingComputer scienceMathematicsComputer visionStatisticsGeologySpectroscopy and Chemometric AnalysesSmart Agriculture and AIRemote Sensing in Agriculture