scholarly journals Estimation of Evapotranspiration and Water Requirements of Strawberry Plants in Greenhouses Using Environmental Data

2021 ◽  
Vol 5 ◽  
Author(s):  
Won Jun Jo ◽  
Dong Sub Kim ◽  
Ha Seon Sim ◽  
Su Ran Ahn ◽  
Hye Jin Lee ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Irrigation System ◽  
Correlation Coefficients ◽  
Environmental Data ◽  
Water Requirements ◽  
Irrigation Technology ◽  
Daily Evapotranspiration ◽  
Precision Irrigation ◽  
Irrigation Requirements ◽  
Temperature Equation

Farmers routinely determine irrigation requirements from visual observations and cultivation experience, but this can lead to under- or over-irrigation. To establish precise irrigation technology for strawberry cultivation, the average daily evapotranspiration and water requirements were estimated according to the environmental data: air temperature and humidity from the center of the greenhouses and solar radiation from outside greenhouses. Makkink FAO24 equations (temperature and cloudiness) were used to estimate the evapotranspiration and water requirements. The temperature equation showed higher correlation coefficients in solar radiation (R2 = 0.60), evapotranspiration (R2 = 0.76), and water requirements (R2 = 0.69) than other tested equations. The daily irrigation, calculated from the estimated evapotranspiration, was 3.8 tons/10a. It is possible to develop a precision irrigation system from estimated evapotranspiration during the winter cultivation of “Seolhyang” strawberries in South Korea.

scholarly journals Grid-based simulation of a lateral move irrigation system

2013 ◽  
Vol 8 (No. 4) ◽  
pp. 165-171
Author(s):  
S. Grashey-Jansen
Keyword(s):  
Soil Water ◽  
Water Demand ◽  
Irrigation System ◽  
Pedotransfer Functions ◽  
Secondary Importance ◽  
Irrigation Technology ◽  
Irrigated Area ◽  
Use Efficiency ◽  
Precision Irrigation ◽  
Grid Based

A central objective in irrigation science is the improvement of the water use efficiency (WUE). Mostly the focus is laid on improvements and innovations in irrigation technology. The characteristics of soils are often considered to be of secondary importance or totally disregarded. This paper reports on the simulation of a sensor network based irrigation system. The simulation was designed for a lateral move irrigation system with a notional irrigated area of 100 × 200 m. A grid-based network with soil specific calibrated and wireless moisture sensors (SMSN) captures the actual soil water content and calculates the corresponding water tensions simultaneously. The simulation in this paper is presented with two different modes of irrigation: the undifferentiated and evenly distributed irrigation (UDI-mode) and the differentiated precision irrigation (DPI-mode) which is adapted to the soil properties. The UDI-mode has been the most frequently applied practice so far and connected with an uncontrolled application of irrigation water. A supply under or over the real water demand of the plants is the consequence. In the DPI-mode the amount of given water is controlled by the soil water tensions (SWTs) calculated by pedotransfer functions (PTFs).

Drip irrigation technology for potatoes through applying low-pressure semistationary small-capacity

2021 ◽  
Vol 0 (6) ◽  
pp. 4-8
Author(s):  
Daler Domullodzhanov
Keyword(s):  
Drip Irrigation ◽  
Laboratory Experiments ◽  
Irrigation System ◽  
Low Pressure ◽  
Annual Precipitation ◽  
Drip Irrigation System ◽  
Irrigation Technology ◽  
Small Capacity ◽  
Irrigation Requirements

The article describes the results of field and laboratory experiments on the study of the technology of drip irrigation of potatoes via using the semi-stationary low-pressure small-capacity drip irrigation system (LDIS) developed by us. Reinforced aluminium micro-tubes ensure uniform watering. Depending on the annual precipitation sufficiency, the potatoes irrigation requirements 1700…3400 m3/ha, the number of irrigations varied from 10 to 20 times, and the yield was between 54…58,2 tons per ha.

scholarly journals Assessment of Agricultural Water Requirements for Semi-Arid Areas: A Case Study of the Boufakrane River Watershed (Morocco)

2021 ◽  
Vol 11 (21) ◽  
pp. 10379
Author(s):  
Mohammed El Hafyani ◽  
Ali Essahlaoui ◽  
Kimberley Fung-Loy ◽  
Jason A. Hubbart ◽  
Anton Van Rompaey
Keyword(s):  
Land Use ◽  
Irrigation Water ◽  
Fruit Trees ◽  
Agricultural Water ◽  
Water Requirements ◽  
Crop Types ◽  
Olive Trees ◽  
Semi Arid ◽  
Irrigation Requirements

This work was undertaken to develop a low-cost but reliable assessment method for agricultural water requirements in semi-arid locations based on remote sensing data/techniques. In semi-arid locations, water resources are often limited, and long-term water consumption may exceed the natural replenishment rates of groundwater reservoirs. Sustainable land management in these locations must include tools that facilitate assessment of the impact of potential future land use changes. Agricultural practices in the Boufakrane River watershed (Morocco) were used as a case study application. Land use practices were mapped at the thematic resolution of individual crops, using a total of 13 images generated from the Sentinel-2 satellites. Using a supervised classification scheme, crop types were identified as cereals, other crops followed by cereals, vegetables, olive trees, and fruit trees. Two classifiers were used, namely Support vector machine (SVM) and Random forest (RF). A validation of the classified parcels showed a high overall accuracy of 89.76% for SVM and 84.03% for RF. Results showed that cereal is the most represented species, covering 8870.43 ha and representing 52.42% of the total area, followed by olive trees with 4323.18 ha and a coverage rate of 25%. Vegetables and other crops followed by cereals cover 1530.06 ha and 1661.45 ha, respectively, representing 9.4% and 9.8% of the total area. In the last rank, fruit trees occupy only 3.67% of the total area, with 621.06 ha. The Food and Agriculture Organization (FAO) free software was used to overlay satellite data images with those of climate for agricultural water resources management in the region. This process facilitated estimations of irrigation water requirements for all crop types, taking into account total potential evapotranspiration, effective rainfall, and irrigation water requirements. Results showed that olive trees, fruit trees, and other crops followed by cereals are the most water demanding, with irrigation requirements exceeding 500 mm. The irrigation requirements of cereals and vegetables are lower than those of other classes, with amounts of 300 mm and 150 mm, respectively.

scholarly journals IRRIGAÇÃO DE PASTAGENS VIA PIVÔ CENTRAL, NA BOVINOCULTURA DE CORTE.

Irriga ◽  
2009 ◽  
Vol 14 (4) ◽  
pp. 492-503 ◽  
Author(s):  
Leonardo Pretto de Azevedo ◽  
João Carlos Cury Saad
Keyword(s):  
Solar Radiation ◽  
Dry Matter ◽  
Irrigation System ◽  
Economic Feasibility ◽  
Forage Production ◽  
Advantages And Disadvantages ◽  
Forage Plants ◽  
Matter Production ◽  
Tropical Forage ◽  
Center Pivot

Irrigação de pastagens via pivô central, na bovinocultura de corte.  Leonardo Pretto de Azevedo1; João Carlos Cury Saad21 Instituto Federal de São Roque, São Roque, SP, [email protected] de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Botucatu, SP,   1 RESUMO          O presente trabalho teve como objetivo apresentar o sistema de irrigação de pastagens via pivô central na bovinocultura de corte brasileira, bem como discutir a viabilidade econômica desta prática em diferentes regiões do país. Foram apresentados fatores importantes na produção de massa seca de forrageiras tropicais, como temperatura, radiação solar, adubação e água. Também foram apresentadas as vantagens e desvantagens do sistema, bem como uma breve discussão de sua viabilidade econômica. Concluiu-se que a irrigação de pastagens pode ser uma técnica economicamente viável para regiões específicas do Brasil, considerando-se os fatores envolvidos e esclarecendo que apenas o fornecimento de água às culturas não resolve o problema da estacionalidade durante o inverno. UNITERMOS: pivô central, forrageiras, viabilidade econômica  AZEVEDO, L. P.; SAAD, J. C. C. Pasture irrigation under center pivot for beef cattle.  2 ABSTRACT          The aims of this work were to show the pasture irrigation system by center pivot with Brazilian cattle and to discuss the economic feasibility of this technique in different regions of the country. Important parameters to dry matter production of tropical forage plants, as temperature, solar radiation, fertilization, and water requirement were shown Also, the system advantages and disadvantages and a discussion about economic feasibility of this technique were presented. It was concluded that pasture irrigation is a feasible and economical technique to some specific Brazilian regions, depending on appropriated parameters. This work also concludes that just water supply is not enough to assure forage production avoiding reduction in dry production in the winter. KEYWORDS: center pivot, pasture, economic feasibility

scholarly journals Mediterranean irrigation under climate change: more efficient irrigation needed to compensate increases in irrigation water requirements

2015 ◽  
Vol 12 (8) ◽  
pp. 8459-8504 ◽  
Author(s):  
M. Fader ◽  
S. Shi ◽  
W. von Bloh ◽  
A. Bondeau ◽  
W. Cramer
Keyword(s):  
Climate Change ◽  
Irrigation Water ◽  
Mediterranean Region ◽  
Eastern Mediterranean ◽  
Water Requirements ◽  
Co2 Fertilization ◽  
Fertilization Effect ◽  
Co2 Fertilization Effect ◽  
The Mediterranean ◽  
Irrigation Requirements

Abstract. Irrigation in the Mediterranean is of vital importance for food security, employment and economic development. This study systematically assesses how climate change and increases in atmospheric CO2 concentrations may affect irrigation requirements in the Mediterranean region by 2080–2090. Future demographic change and technological improvements in irrigation systems are accounted for, as is the spread of climate forcing, warming levels and potential realization of the CO2-fertilization effect. Vegetation growth, phenology, agricultural production and irrigation water requirements and withdrawal were simulated with the process-based ecohydrological and agro-ecosystem model LPJmL after a large development that comprised the improved representation of Mediterranean crops. At present the Mediterranean region could save 35 % of water by implementing more efficient irrigation and conveyance systems. Some countries like Syria, Egypt and Turkey have higher saving potentials than others. Currently some crops, especially sugar cane and agricultural trees, consume in average more irrigation water per hectare than annual crops. Different crops show different magnitude of changes in net irrigation requirements due to climate change, being the increases most pronounced in agricultural trees. The Mediterranean area as a whole might face an increase in gross irrigation requirements between 4 and 18 % from climate change alone if irrigation systems and conveyance are not improved (2 °C global warming combined with full CO2-fertilization effect, and 5 °C global warming combined with no CO2-fertilization effect, respectively). Population growth increases these numbers to 22 and 74 %, respectively, affecting mainly the Southern and Eastern Mediterranean. However, improved irrigation technologies and conveyance systems have large water saving potentials, especially in the Eastern Mediterranean, and may be able to compensate to some degree the increases due to climate change and population growth. Both subregions would need around 35 % more water than today if they could afford some degree of modernization of irrigation and conveyance systems and benefit from the CO2-fertilization effect. Nevertheless, water scarcity might pose further challenges to the agricultural sector: Algeria, Libya, Israel, Jordan, Lebanon, Syria, Serbia, Morocco, Tunisia and Spain have a high risk of not being able to sustainably meet future irrigation water requirements in some scenarios. The results presented in this study point to the necessity of performing further research on climate-friendly agro-ecosystems in order to assess, on the one side, their degree of resilience to climate shocks, and on the other side, their adaptation potential when confronted with higher temperatures and changes in water availability.

Assessment and Correction of Solar Radiation Measurements with Simple Neural Networks

Atmosphere ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1160
Author(s):  
Jason Kelley
Keyword(s):  
Neural Networks ◽  
Solar Radiation ◽  
Low Cost ◽  
Environmental Data ◽  
Data Driven ◽  
Technical Requirements ◽  
Standard Procedures ◽  
Comparable Accuracy ◽  
Radiation Sensors ◽  
Radiation Measurements

Solar radiation received at the Earth’s surface provides the energy driving all micro-meteorological phenomena. Local solar radiation measurements are used to estimate energy mediated processes such as evapotranspiration (ET); this information is important in managing natural resources. However, the technical requirements to reliably measure solar radiation limits more extensive adoption of data-driven management. High-quality radiation sensors are expensive, delicate, and require skill to maintain. In contrast, low-cost sensors are widely available, but may lack long-term reliability and intra-sensor repeatability. As weather stations measure solar radiation and other parameters simultaneously, machine learning can be used to integrate various types of environmental data, identify periods of erroneous measurements, and estimate corrected values. We demonstrate two case studies in which we use neural networks (NN) to augment direct radiation measurements with data from co-located sensors, and generate radiation estimates with comparable accuracy to the data typically available from agro-meteorology networks. NN models that incorporated radiometer data reproduced measured radiation with an R2 of 0.9–0.98, and RMSE less than 100 Wm−2, while models using only weather parameters obtained R2 less than 0.75 and RMSE greater than 140 Wm−2. These cases show that a simple NN implementation can complement standard procedures for estimating solar radiation, create opportunities to measure radiation at low-cost, and foster adoption of data-driven management.

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