Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change.
- Published in:
- Cogent Food & Agriculture, 2024, v. 10, n. 1, p. 1, doi. 10.1080/23311932.2024.2348697
- By:
- Publication type:
- Article
Works by Peters, R. Troy
Results: 12
1
2
Monitoring water status in apple trees using a sensitive morning crop water stress index*.
- Published in:
- Irrigation & Drainage, 2021, v. 70, n. 1, p. 27, doi. 10.1002/ird.2528
- By:
- Publication type:
- Article
3
Reference Evapotranspiration Estimation Using Genetic Algorithm-Optimized Machine Learning Models and Standardized Penman–Monteith Equation in a Highly Advective Environment.
- Published in:
- Water (20734441), 2024, v. 16, n. 1, p. 12, doi. 10.3390/w16010012
- By:
- Publication type:
- Article
4
Measuring Evapotranspiration Suppression from the Wind Drift and Spray Water Losses for LESA and MESA Sprinklers in a Center Pivot Irrigation System.
- Published in:
- Water (20734441), 2023, v. 15, n. 13, p. 2444, doi. 10.3390/w15132444
- By:
- Publication type:
- Article
5
Impact of the Intermittency Movement of Center Pivots on Irrigation Uniformity.
- Published in:
- Water (20734441), 2021, v. 13, n. 9, p. 1167, doi. 10.3390/w13091167
- By:
- Publication type:
- Article
6
Morphological and Physiological Traits Associated with Canopy Temperature Depression in Three Closely Related Wheat Lines.
- Published in:
- Crop Science, 2008, v. 48, n. 5, p. 1897, doi. 10.2135/cropsci2007.06.0317
- By:
- Publication type:
- Article
7
Modeling Diurnal Canopy Temperature Dynamics Using One‐Time‐of‐Day Measurements and a Reference Temperature Curve.
- Published in:
- Agronomy Journal, 2004, v. 96, n. 6, p. 1553, doi. 10.2134/agronj2004.1553
- By:
- Publication type:
- Article
8
Smartphone Application-Enabled Apple Fruit Surface Temperature Monitoring Tool for In-Field and Real-Time Sunburn Susceptibility Prediction.
- Published in:
- Sensors (14248220), 2020, v. 20, n. 3, p. 608, doi. 10.3390/s20030608
- By:
- Publication type:
- Article
9
Linear mixed modeling and artificial neural network techniques for predicting wind drift and evaporation losses under moving sprinkler irrigation systems.
- Published in:
- Irrigation Science, 2020, v. 38, n. 2, p. 177, doi. 10.1007/s00271-019-00659-x
- By:
- Publication type:
- Article
10
Assessing Suitability of Auto-Selection of Hot and Cold Anchor Pixels of the UAS-METRIC Model for Developing Crop Water Use Maps.
- Published in:
- Remote Sensing, 2022, v. 14, n. 18, p. N.PAG, doi. 10.3390/rs14184454
- By:
- Publication type:
- Article
11
High-Resolution Spatiotemporal Water Use Mapping of Surface and Direct-Root-Zone Drip-Irrigated Grapevines Using UAS-Based Thermal and Multispectral Remote Sensing.
- Published in:
- Remote Sensing, 2021, v. 13, n. 5, p. 954, doi. 10.3390/rs13050954
- By:
- Publication type:
- Article
12
Direct Calculation of Thermodynamic Wet-Bulb Temperature as a Function of Pressure and Elevation.
- Published in:
- Journal of Atmospheric & Oceanic Technology, 2013, v. 30, n. 8, p. 1757, doi. 10.1175/JTECH-D-12-00191.1
- By:
- Publication type:
- Article