Soil Moisture Depletion Modelling Using a TDR Multi-Sensor System, GIS, Soil Analyzes, Precision Agriculture and Remote Sensing on Maize for Improved Irrigation-Fertilization Decisions †
Abstract
:1. Introduction
2. Materials and Methods
2.1. Experimental Plot Design, Soil Sampling and Laboratory Soil and Hydraulic Analysis
2.2. Soil Moisture Measurements, Digital 2-D-GIS Moisture Maps Utilizing GIS, Precision Agriculture and Geostatistics
2.3. Remote Sensing Crop’s NDVI, Evapotranspiration and Net Irrigation Requirement
3. Results and Discussion
3.1. Study Area, Soil-Hydraulic Analysis and 2-D Moisture Maps Utilizing GIS, Precision Agriculture and Geostatistics
3.2. Daily Soil Moisture Depletion (SMDp) Model and NDVI Vegetation Index
3.3. Statistical Analysis, Maize’s Yield and Biomass Results
4. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Filintas, A. Soil Moisture Depletion Modelling Using a TDR Multi-Sensor System, GIS, Soil Analyzes, Precision Agriculture and Remote Sensing on Maize for Improved Irrigation-Fertilization Decisions. Eng. Proc. 2021, 9, 36. https://doi.org/10.3390/engproc2021009036
Filintas A. Soil Moisture Depletion Modelling Using a TDR Multi-Sensor System, GIS, Soil Analyzes, Precision Agriculture and Remote Sensing on Maize for Improved Irrigation-Fertilization Decisions. Engineering Proceedings. 2021; 9(1):36. https://doi.org/10.3390/engproc2021009036
Chicago/Turabian StyleFilintas, Agathos. 2021. "Soil Moisture Depletion Modelling Using a TDR Multi-Sensor System, GIS, Soil Analyzes, Precision Agriculture and Remote Sensing on Maize for Improved Irrigation-Fertilization Decisions" Engineering Proceedings 9, no. 1: 36. https://doi.org/10.3390/engproc2021009036