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Proceeding Paper

The Use of Precision Agriculture for Improving the Water Economics of Farms and the Need for Agricultural Advisory †

by
Georgios Papadavid
1,
Georgios Kountios
2,*,
Diofantos Hadjimitsis
3 and
Maria Tsiouni
2
1
Agricultural Research Institute, Athalassa, 1516 Nicosia, Cyprus
2
Department of Agriculture, International Hellenic University, Sindos, 57400 Thessaloniki, Greece
3
Department of Civil Engineering & Geomatics, Cyprus University of Technology, 31 Archbishop Kyprianos, 3603 Limassol, Cyprus
*
Author to whom correspondence should be addressed.
Presented at the 17th International Conference of the Hellenic Association of Agricultural Economists, Thessaloniki, Greece, 2–3 November 2023.
Proceedings 2024, 94(1), 47; https://doi.org/10.3390/proceedings2024094047
Published: 18 February 2024

Abstract

:
The rational management of water, which is determined by the Framework Directive 2000/60/EC of the EU, is a contractual obligation of the Agricultural Sector of Cyprus, both towards the European Union and the next generations of Cypriot citizens. To make decisions about sustainable water use and improve water use, it is necessary to understand the water use of crops in different water-use areas. Especially in large water projects in Cyprus, there must be a good way to determine the water use of crops so that the correct use of crops can be ensured, thus eliminating problems such as a lack of new information about the crop area and agricultural evaporation, Demand, and water. In most projects, water is managed and supplied based on historical data, and current information is available to determine water demand and availability for large areas. This paper also adds, apart from the clear positive effect of remote sensing and new technologies in crop irrigation, to the emerging need for advisory services for the diffusion of innovation to Cypriot farmers since the estimation of crop water requirements is part of estimating the carbon footprint under the project CARBONICA (EU Funded) for carbon farming.

1. Introduction

Prolonged drought, dry conditions, and poor irrigation and water supply management result in a significant reduction in water reserves and resources [1]). Irrigation water reductions are based on studies of percentage reductions in the required volume of irrigation water and crop responses to these reductions. The required irrigation volume for each crop is calculated based on the evapotranspiration (ET) of each crop, which has been empirically found (Epan) in the past [2]. However, the need for an accurate measurement of ET today remains imperative and is an integral element in the decision-making of Water Policy Bodies. The continuous decrease in rainfall in Cyprus [3,4] (Cyprus Meteorological Services, 2020/2021) in recent decades has contributed to an increase in irrigation and, therefore, the volumes of water consumed in agriculture. However, the reckless use of irrigation water combined with reduced rainfall caused a serious blow to the storage of water in Cyprus [5].

2. Methods

ETc forecasts based on remote sensing are almost universally used due to the following advantages of remote sensing: abundant raw data, low cost, and weather forecasting. It is worth noting that Landsat 7 ETM+ and 8 OLI images cover almost the entire island of Cyprus, and their resolution is good for hydrological studies. The study area is in the village of Mandria in the Paphos Region (west of Cyprus), which is the main agricultural area of the Paphos Region and absorbs the largest amount of water (26%) in the water supply system of Cyprus. Remote sensing techniques have been applied to estimate the accurate irrigation volumes per crop and finally compared to the empirical values that farmers are already using.

3. Results and Discussions

To produce these results, evapotranspiration maps were created where users can see the needs of their crops on a daily or even monthly basis (Figure 1). These maps are essentially the satellite images of the area, which were converted into maps using the SEBAL algorithm [6] after its application in the ERDAS Imagine software (version 16).
Table 1 shows the results of the project for the crops under investigation. The aim was to create an irrigation plan from which the producer would know the required irrigation volumes. It is noted that the results of this project, in terms of evapotranspiration, are given in mm/day, which, however, are easily converted to m3/ha/month for comparison purposes with previous research data referred to in the “Norm Input Output Data for the main crop and livestock enterprises of Cyprus” [7], which are listed in that format. The specific manual (Norm) published by the Agricultural Research Institute is the only technical and economic database in Cyprus for issues related to agricultural crops.
The research data of this project were converted into irrigation costs after multiplying with the cost of irrigation water, which amounts to EUR 0.17/ton (Table 2). So, the project data are now comparable to the data mentioned in the Norm. This study focuses on the cost of irrigation, which appears to be a major expense for producers today. More specifically, the cost of irrigation for the crops amounts to 19%, 25%, 23%, and 5% of the variable costs, respectively, and to 12%, 19%, 17%, and 4% of the total costs, respectively. It is, therefore, indisputable that the cost of irrigation contributes to a reduction in the profit of the producer since it can contribute 20% to the formation of the cost of cultivation. A reduction in the cost of irrigation has positive inductive effects on the producer’s profit, which is the final demand for producer–entrepreneurs.

4. Conclusions

It is clear from the new data produced by this research project that the producer’s profit increases. In addition to the benefit of the producer, however, at the microeconomic level, there are also social benefits. The use of satellite remote sensing in the field of irrigation and water resources management can contribute at a microeconomic level to the maximization of the producer’s profit. The reduction in irrigation costs, using the optimal amounts of water for the needs of the crops, contributes dynamically to the profit margin of the producer while, at the same time, having a positive effect on the storage of surface water resources stored in the dams. All these positive research results fade out unless there is a proper advisory service that disseminates this knowledge. Although the Ministry of Agriculture, Rural Development and Environment in Cyprus has undertaken a great effort to establish an efficient system for agricultural knowledge and innovation (AKIS) to promote innovation in the agri-food sector, it should be improved by becoming even more integrated and powerful providing farmers better access to education and training programs.

Author Contributions

Conceptualization, G.P.; methodology, G.P.; software, G.K.; validation, G.P., D.H. and M.T.; formal analysis, G.P.; investigation, G.K.; resources, D.H.; data curation, G.P.; writing—original draft preparation, M.T.; writing—review and editing, G.P.; visualization, G.K.; supervision, G.P.; project administration, G.P. All authors have read and agreed to the published version of the manuscript.

Funding

This project was funded by the European Union. The views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are contained within the article.

Acknowledgments

The authors would like to express their appreciation to the European Union under the CARBONICA project (HORIZON-WIDERA-2022).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Tsakiris, G.P.; Loucks, D.P. Adaptive Water Resources Management Under Climate Change: An Introduction. Water Resour. Manag. 2023, 37, 2221–2223. [Google Scholar] [CrossRef]
  2. Kustas, W.P.; Jackson, R.D.; Asrar, G. Chapter 16: Estimating surface energy-balance components from remotely sensed data. In Theory and Applications of Optical Remote Sensing; Asrar, G., Ed.; John Wiley and Sons: New York, NY, USA, 1989; pp. 605–627. [Google Scholar]
  3. Cyprus Meteorological Service. Cyprus Average Annual Precipitation 1901–2008. 2020. Available online: http://www.moa.gov.cy/moa/MS/MS.nsf/DMLclimet_reports_en/DMLclimet_reports (accessed on 15 July 2023).
  4. Cyprus Meteorological Service. Monthly Rainfall in Cyprus during the Hydrometeorological Year 2008–2009 and 2009–2010. 2021. Available online: http://www.moa.gov.cy/moa/MS/MS.nsf/DMLmeteo_reports_en/DMLmeteo_reports (accessed on 20 July 2024).
  5. Papadavid, G.; Hadjimitsis, D.G. Spectral signature measurements during the whole life cycle of annual crops and sustainable irrigation management over Cyprus using remote sensing and spectro-radiometric data: The cases of spring potatoes and peas. Proc. SPIE Remote Sens. Agric. Ecosyst. Hydrol. XI 2009, 7472, 747215. [Google Scholar] [CrossRef]
  6. Bastiaanssen, W.G.M.; Menenti, M.; Feddes, R.A.; Holtslag, A.A.M. A remote sensing surface energy balance algorithm for land (SEBAL), part 1: Formulation. J. Hydrol. 1998, 212–213, 198–212. [Google Scholar] [CrossRef]
  7. Markou, M.; Papadavid, G. Norm Input-Output Data for the Main Crop and Livestock Enterprises of Cyprus; Agricultural Research Institute: Nicosia, Cyprus, 2008. [Google Scholar]
Figure 1. Example of a crop evapotranspiration map creation in Cyprus.
Figure 1. Example of a crop evapotranspiration map creation in Cyprus.
Proceedings 94 00047 g001
Table 1. Irrigation needs (m3/ha/month) for specific crops in Cyprus.
Table 1. Irrigation needs (m3/ha/month) for specific crops in Cyprus.
CropJFMAMJJASONDTotal
Potatoes------450850120015501300-5330
Groundnuts------62014501650300--4020
Beans------4508501200990--3490
Peas--200800480-------1480
Table 2. Percentage of marginal cost and profit in irrigation expenses.
Table 2. Percentage of marginal cost and profit in irrigation expenses.
Irrigation Cost as forPotatoesBeansGroundnutsPeas
Variable Cost (before)%0.190.250.230.05
Total Cost (before)%0.130.150.140.03
Variable Cost (after)%0.120.190.170.04
Total Cost (after)%0.080.110.100.02
Profit increase%1.291.202.231.05
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MDPI and ACS Style

Papadavid, G.; Kountios, G.; Hadjimitsis, D.; Tsiouni, M. The Use of Precision Agriculture for Improving the Water Economics of Farms and the Need for Agricultural Advisory. Proceedings 2024, 94, 47. https://doi.org/10.3390/proceedings2024094047

AMA Style

Papadavid G, Kountios G, Hadjimitsis D, Tsiouni M. The Use of Precision Agriculture for Improving the Water Economics of Farms and the Need for Agricultural Advisory. Proceedings. 2024; 94(1):47. https://doi.org/10.3390/proceedings2024094047

Chicago/Turabian Style

Papadavid, Georgios, Georgios Kountios, Diofantos Hadjimitsis, and Maria Tsiouni. 2024. "The Use of Precision Agriculture for Improving the Water Economics of Farms and the Need for Agricultural Advisory" Proceedings 94, no. 1: 47. https://doi.org/10.3390/proceedings2024094047

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