Assessment of the Nutritional State for Olive Trees Using UAVs
- 9 September 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Estimating Rice Agronomic Traits Using Drone-Collected Multispectral ImageryRemote Sensing, 2019
- Monitoring nitrogen, phosphorus and sulphur in hybrid rice (Oryza sativa L.) using hyperspectral remote sensingPrecision Agriculture, 2016
- Estimating leaf nitrogen concentration in heterogeneous crop plants from hyperspectral reflectanceInternational Journal of Remote Sensing, 2015
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV ImagesRemote Sensing, 2015
- Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAVPublished by SPIE-Intl Soc Optical Eng ,2013
- MEASURING SUNFLOWER NITROGEN STATUS FROM AN UNMANNED AERIAL VEHICLE-BASED SYSTEM AND AN ON THE GROUND DEVICEThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome FriedmanInternational Statistical Review, 2009
- Assessing Nitrogen and Potassium Deficiencies in Olive Orchards through Discriminant Analysis of Hyperspectral DataJournal of the American Society for Horticultural Science, 2007
- Leaf nutrient spatial variability and site-specific fertilization maps within olive (Olea europaea L.) orchardsEuropean Journal of Agronomy, 2004
- Precision Agriculture in the 21st CenturyPublished by The National Academies Press ,1997