Rainfed and Supplemental Irrigation Modelling 2D GIS Moisture Rootzone Mapping on Yield and Seed Oil of Cotton (Gossypium hirsutum) Using Precision Agriculture and Remote Sensing †
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 2D GIS Moisture Maps Utilizing GIS, Precision Agriculture and Geostatistics
2.3. Remote Sensing Crop’s NDVI, Evapotranspiration and Net Irrigation Requirements
3. Results and Discussion
3.1. Study Area, Soil-Hydraulic Analysis and 2D Moisture Maps Utilizing GIS, Precision Agriculture and Geostatistics
3.2. Daily Soil-Water-Crop-Atmosphere (SWCA) Balance Model and NDVI Vegetation Index
3.3. Statistical Analysis, Cotton’s Yield and Seed Oil Content Results
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Filintas, A. Land Use Evaluation and Environmental Management of Biowastes, for Irrigation with Processed Wastewaters and Application of Bio-Sludge with Agricultural Machinery, for Improvement-Fertilization of Soils and Crops, with the Use of GIS-Remote Sensing, Precision Agriculture and Multicriteria Analysis. Ph.D. Thesis, University of the Aegean, Mitilini, Greece, 2011. [Google Scholar]
- USDA. Cotton: World Markets and Trade, 2021st ed.; United States Department of Agriculture: New York, NY, USA, 2021; p. 30. [Google Scholar]
- FAO. Coping with Water Scarcity: An Action Framework for Agriculture and Food Security; FAO: Rome, Italy, 2012; p. 100. [Google Scholar]
- Stamatis, G.; Parpodis, K.; Filintas, A.; Zagana, E. Groundwater quality, nitrate pollution and irrigation environmental management in the Neogene sediments of an agricultural region in central Thessaly (Greece). Environ. Earth Sci. 2011, 64, 1081–1105. [Google Scholar] [CrossRef]
- EEA. Use of Freshwater Resources in Europe, CSI 018; European Environment Agency (EEA): Copenhagen, Denmark, 2019. [Google Scholar]
- Islam, S.M.F.; Karim, Z. World’s Demand for Food and Water: The Consequences of Climate Change. In Desalination-Challenges and Opportunities; Farahani, M.H.D.A., Vatanpour, V., Taheri, A.H., Eds.; IntechOpen: London, UK, 2019; Chapter 4; pp. 1–27. [Google Scholar] [CrossRef] [Green Version]
- Filintas, A.; Wogiatzi, E.; Gougoulias, N. Rainfed cultivation with supplemental irrigation modelling on seed yield and oil of Coriandrum sativum L. using Precision Agriculture and GIS moisture mapping. Water Supply 2021, 21, 2569–2582. [Google Scholar] [CrossRef]
- Allen, R.; Pereira, L.; Raes, D.; Smith, M. Crop Evapotranspiration; Drainage & Irrigation paper Nº56; FAO: Rome, Italy, 1998. [Google Scholar]
- Page, A.L.; Miller, R.H.; Keeney, D.R. Methods of Soil Analysis Part 2: Chemical and Microbiological Properties; Agronomy, ASA and SSSA: Madison, WI, USA, 1982; p. 1159. [Google Scholar]
- Dioudis, P.; Filintas, A.; Koutseris, E. GPS and GIS based N-mapping of agricultural fields’ spatial variability as a tool for non-polluting fertilization by drip irrigation. Int. J. Sustain. Dev. Plan. 2009, 4, 210–225. [Google Scholar] [CrossRef]
- Dioudis, P.; Filintas, A.; Papadopoulos, A. Corn yield response to irrigation interval and the resultant savings in water and other overheads. Irrig. Drain. 2009, 58, 96–104. [Google Scholar] [CrossRef]
- Filintas, A.; Dioudis, P.; Prochaska, C. GIS modeling of the impact of drip irrigation, of water quality and of soil’s available water capacity on Zea mays L, biomass yield and its biofuel potential. Desalination Water Treat. 2010, 13, 303–319. [Google Scholar] [CrossRef] [Green Version]
- USDA-SCS. Irrigation Water Requirements; Technical R. No. 21; USDA Soil Conservation Service: Washington, DC, USA, 1970. [Google Scholar]
- Norusis, M.J. IBM SPSS Statistics 19 Advanced Statistical Procedures Companion; Pearson: London, UK, 2011. [Google Scholar]
- Hatzigiannakis, E.; Filintas, A.; Ilias, A.; Panagopoulos, A.; Arampatzis, G.; Hatzispiroglou, I. Hydrological and rating curve modelling of Pinios River water flows in Central Greece, for environmental and agricultural water resources management. Desalination Water Treat. 2016, 57, 11639–11659. [Google Scholar] [CrossRef]
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Filintas, A.; Nteskou, A.; Katsoulidi, P.; Paraskebioti, A.; Parasidou, M. Rainfed and Supplemental Irrigation Modelling 2D GIS Moisture Rootzone Mapping on Yield and Seed Oil of Cotton (Gossypium hirsutum) Using Precision Agriculture and Remote Sensing. Eng. Proc. 2021, 9, 37. https://doi.org/10.3390/engproc2021009037
Filintas A, Nteskou A, Katsoulidi P, Paraskebioti A, Parasidou M. Rainfed and Supplemental Irrigation Modelling 2D GIS Moisture Rootzone Mapping on Yield and Seed Oil of Cotton (Gossypium hirsutum) Using Precision Agriculture and Remote Sensing. Engineering Proceedings. 2021; 9(1):37. https://doi.org/10.3390/engproc2021009037
Chicago/Turabian StyleFilintas, Agathos, Aikaterini Nteskou, Persefoni Katsoulidi, Asimina Paraskebioti, and Marina Parasidou. 2021. "Rainfed and Supplemental Irrigation Modelling 2D GIS Moisture Rootzone Mapping on Yield and Seed Oil of Cotton (Gossypium hirsutum) Using Precision Agriculture and Remote Sensing" Engineering Proceedings 9, no. 1: 37. https://doi.org/10.3390/engproc2021009037