HIGHLIGHTS
- who: Renata Andrade and collaborators from the Department of Soil Science, Federal University of Lavras, Lavras, MG, Brazil have published the paper: A Proximal Sensor-Based Approach for Clean, Fast, and Accurate Assessment of the Eucalyptus spp. Nutritional Status and Differentiation of Clones, in the Journal: Plants 2023, 561 of /2023/
- what: The models with greater R2 and RPD and smaller RMSE values were considered optimal for predicting leaf conventional laboratory analysis. The models with greater overall accuracy and Cohen`s Kappa coefficient were considered the best ones to predict Eucalyptus spp. clones and nutritional . . .
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