Applying L-Moments Statistical Theory to Analyze Real-World Sensor Data from Orchards
- 2 January 2026
- book chapter
- Published by Springer Nature
- p. 310-322
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Irrigation with Artificial Intelligence: Problems, Premises, PromisesHuman-Centric Intelligent Systems, 2024
- A novel approach for flow analysis in software-based networks using L-moments theoryComputer Communications, 2023
- Automation of soil moisture sensor-based basin irrigation systemSmart Agricultural Technology, 2022
- An overview of smart irrigation systems using IoTEnergy Nexus, 2022
- A novel fourth-order L-moment reliability method for L-correlated variablesApplied Mathematical Modelling, 2021
- Multiparameter probability distributions for at-site frequency analysis of annual maximum wind speed with L-Moments for parameter estimationEnergy, 2019
- Key structural features of Boreal forests may be detected directly using L-moments from airborne lidar dataRemote Sensing of Environment, 2017
- Irrigation Scheduling Using the Water Balance2016
- A contribution to multivariate L-moments: L-comoment matricesJournal of Multivariate Analysis, 2007
- Some theory and practical uses of trimmed L-momentsJournal of Statistical Planning and Inference, 2007