Evapotranspiration-based Irrigation System for Mustard Green Crop Cultivation using Public Weather Forecast

The wine industry must face many challenges because of climate change. One of them is the increase in temperatures and droughts events. These changes sometimes lead to yield losses and can also impact the quality of the wine produced (e.g., increased alcohol content). The management of available water is also a sensitive issue as water requirements for vineyard irrigation are quickly increasing in the south of France. In this context, there is a need for a decision tool that can help evaluate the vine water status through the entire growth season at a large scale. To address this issue, we have previously developed a model (see Laroche-Pinel et al. 2021a) which predicts the vine Stem Water Potential (Ψstem) using Sentinel-2 (S2) images. This model was developed based on a field campaign over three years. The present study now aims to investigate the feedback of winegrowers on the outputs of our model. Therefore, it was applied on the plots of five wine estates that do not belong to the set used in the initial paper. The qualitative results show interesting spatial and temporal consistency in accordance with winegrower knowledge, irrigation data, and weather forecast. The predicted Ψstemhighlights spatial variability in vine fields where a water source emerges and reflects the differences between vine fields with a drip or sparkling irrigation or without an irrigation system. The predicted Ψstem also clearly reacts to a peak in temperature. According to their feedback, three of the five winegrowers would be glad to use this service in the years to come.

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Determining Irrigation Depths for Soybean Using a Simulation Model of Water Flow and Plant Growth and Weather Forecasts

Agronomy ◽

10.3390/agronomy10030369 ◽

2020 ◽

Vol 10 (3) ◽

pp. 369 ◽

Cited By ~ 1

Author(s):

Hassan M. Abd El Baki ◽

Majid Raoof ◽

Haruyuki Fujimaki

Keyword(s):

Irrigation Water ◽

Root Zone ◽

Irrigation System ◽

Weather Forecast ◽

Net Income ◽

Irrigation Amount ◽

Weather Forecasts ◽

Irrigation Interval ◽

Irrigation Depth ◽

Automated Irrigation System

A new scheme to determine irrigation depths using a two-point of predicted cumulative transpiration over irrigation interval is presented. Rather than maximizing water use efficiency, this scheme aims to maximize net income. The volumetric water price is considered to give farmers an incentive to save irrigation water. A field experiment for soybeans was carried out in the Arid Land Research Center, Tottori University, Japan in 2019. The total irrigation amount yield and net income by the proposed scheme were compared to those by a tensiometer-operated automated irrigation. The scheme could save irrigation water by 16% with a yield increment of 20%; resulting in a 22% increase in net income compared to the automated irrigation. The model simulated the volumetric water content in the effective root zone of the plant in fair agreement. These results indicate the effectiveness of the proposed scheme that may replace an automated irrigation system even considering uncertainty in weather forecast to determine irrigation depth and secure investment costs.

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Optimizing Irrigation Depth Using a Plant Growth Model and Weather Forecast

Journal of Agricultural Science ◽

10.5539/jas.v10n7p55 ◽

2018 ◽

Vol 10 (7) ◽

pp. 55 ◽

Cited By ~ 1

Author(s):

Hassan M. Abd El Baki ◽

Haruyuki Fujimaki ◽

Ieyasu Tokumoto ◽

Tadaomi Saito

Keyword(s):

Numerical Models ◽

Irrigation System ◽

Irrigation Management ◽

Weather Forecast ◽

Net Income ◽

Weather Forecasts ◽

Irrigation Interval ◽

Arachis Hypogaea L ◽

Irrigation Depth ◽

Automated Irrigation System

Numerical models of crop response to irrigation and weather forecasts with internet access should be fully utilized in modern irrigation management. In this respect, we developed a new numerical scheme to optimize irrigation depth that maximizes net income. Net income was calculated as a function of cumulative transpiration over irrigation interval which depends on irrigation depth. To evaluate this scheme, we carried out a field experiment for groundnut (Arachis hypogaea L.) grown in a sandy field of the Arid Land Research Center, Tottori University, Japan. Two treatments were established to compare the net income of the proposed scheme with that of an automated irrigation system. Results showed that although the proposed scheme gave a larger amount of seasonal irrigation water 28%, it achieved 2.18 times of net income owing to 51% higher yield compared to results of the automated irrigation system. This suggests that the proposed scheme would be more economical tool than automated irrigation systems to optimize irrigation depths.

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The Agricultural Use of Melt Water in Hopar Settlement, Pakistan

Annals of Glaciology ◽

10.3189/s0260305500007606 ◽

1989 ◽

Vol 13 ◽

pp. 35-39 ◽

Cited By ~ 3

Author(s):

David Butz

Keyword(s):

Water Allocation ◽

Sediment Load ◽

Irrigation System ◽

Growing Season ◽

Agricultural Irrigation ◽

Crop Cultivation ◽

Run Off ◽

Important Concern ◽

Melt Water ◽

Agricultural Use

Agricultural irrigation is an important use of melt water in the Karakoram Range of Pakistan; indeed all crop cultivation relies on melt water from small glaciers and/or snow and ice patches in the zone above 3500 m. Inhabitants of Hopar settlement utilize run-off from a cirque-shaped basin covering about 11.5km2 between 3600 and 4900 m a.s.l. to irrigate 280 ha of cultivated terraces in the altitudes 2500–3000 m. The characteristics of discharge from this basin require specific adaptions to be made by irrigators. In particular, access, turbulent flow, water temperature and sediment load are problematic, although water allocation is not an important concern because supply exceeds demand for most of the local growing season. Supply characteristics are outlined in the paper and are related to features of the indigenous irrigation system.

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REGULATING WATER SUPPLY AND WATER CUTBACKS IN AGRICULTURE USING IOT BASED SMART IRRIGATION SYSTEM

INFORMATION TECHNOLOGY IN INDUSTRY ◽

10.17762/itii.v9i1.180 ◽

2021 ◽

Vol 9 (1) ◽

pp. 629-633

Author(s):

Prabhas Kumar Gupta, Dr. Nagendra Tripathi

Keyword(s):

Data Analysis ◽

Real Time ◽

Irrigation System ◽

Weather Forecast ◽

Weather Conditions ◽

Underground Water ◽

Contributing Factors ◽

Time Data ◽

Cloud Data ◽

Real Time Data

Involvement of Machine Learning, Real-time Data Analysis and IOT are critically contributing factors in contemporary technical scenarios. Utilization of these three technologies can play a major role in the success of farming thereby modernizing the irrigation system. This paper is focused on the Smart Irrigation System which draws a lot from real-time data analysis, IOT and Machine Leaning. It also presents a study of a system that processes real time data and takes decision about to what extent the field needs to be irrigated. In this way water is saved, its misuse regulated and can be restored for future use if required. Here we rely on cloud data and some other agri-factors which help in decision making. The Smart Irrigation System discussed here shall also regulate the use of underground water my incorporating IOT and weather forecast. The system will also contribute to effective irrigation taking in view the contemporary weather conditions and the requirement of water in the crop.

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Determining Economical Irrigation Depths in a Sandy Field Using a Combination of Weather Forecast and Numerical Simulation

Water ◽

10.3390/w13233403 ◽

2021 ◽

Vol 13 (23) ◽

pp. 3403

Author(s):

Hassan M. Abd El Baki ◽

Haruyuki Fujimaki

Keyword(s):

Numerical Simulation ◽

Numerical Scheme ◽

Crop Production ◽

Irrigation System ◽

Weather Forecast ◽

Net Income ◽

Irrigation Amount ◽

Green Fodder ◽

Fodder Yield ◽

Automated Irrigation System

Advancement of modern technologies has given numerical simulations a crucial role to effectively manage irrigation. A new numerical scheme to determine irrigation depths was incorporated into WASH 2D, which is a numerical simulation model of crop response to irrigation. Based on two predicted points of cumulative transpiration—water price and quantitative weather forecast—the scheme can optimize an irrigation depth in which net income is maximized. A field experiment was carried out at the Arid Land Research Center, Tottori, Japan, in 2019, to evaluate the effectiveness of the scheme on net income and crop production compared to a tensiometer-based automated irrigation system. Sweetcorn (Zea mays L., Amaenbou 86) was grown in three water balance lysimeters per each treatment, filled with sandy soil. The scheme could achieve a 4% higher net income, due to a 7% increase in green fodder yield, and an 11% reduction in irrigation amount, compared with the automated irrigation method. These results indicate that the numerical scheme, in combination with quantitative weather forecasts, can be a useful tool to determine irrigation depths, maximize net incomes which are farmers’ targets, and avoid large investments that are required for the automated irrigation system.

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Smart City Park Irrigation System: A Case Study of San Isidro, Lima—Peru

Proceedings ◽

10.3390/proceedings2191227 ◽

2018 ◽

Vol 2 (19) ◽

pp. 1227

Author(s):

Luis Cano ◽

Claudio Ortega ◽

Alvaro Talavera ◽

Juan Lazo

Keyword(s):

Decision Making ◽

Water Resources ◽

Fuzzy Inference ◽

Irrigation System ◽

Low Cost ◽

Weather Forecast ◽

Land Area ◽

Inference System ◽

Temperature Maps

Water management has become a global priority in recent decades. The demand for water resources is increasing in cities due to the increase in population and the intensive use of water in economic activities and ornamentation. The problem is exacerbated when cities are built on desert regions, this is the case of Lima which is the second largest city built on a desert after Cairo. In this type of cities, it is necessary to minimize water consumption in activities that do not cover the priority needs of the population. For this reason, one of the most important tasks in the management of water resources in Lima is the optimization of water use in irrigation of parks, malls and other public green areas, necessary to offer a good quality of life to citizens. This research develops a smart decision support system to optimize irrigation in city parks. The proposed methodology takes 4 variables: land area, temperature, park humidity and weather forecast. First, strategic segmentation of the total area of the park is carried out, followed by the use of low-cost sensors to construct real-time humidity and temperature maps of the land area. Afterwards, a fuzzy inference system (FIS) that incorporates the knowledge of agronomists to process vague information in terms of computer interpretable language, together with the data collected from the variables and humidity and temperature maps is built, to assess the need for irrigation of each segment of the park. A dashboard is made to facilitate the visualization of results, including humidity and temperature maps, the weather forecast for the area and the recommendation of the FIS, which supports decision-making on irrigation needs in each segment of the park. The methodology was applied in a case study that corresponds to a San Isidro park in the city of Lima. Significant expected savings were obtained in terms of water resources and monetary units, which demonstrates the viability of the application of this smart system oriented at supporting decision-making on smart irrigation in the city’s parks.

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Design of Intelligent Water-Saving Irrigation Control System Based On Rainfall Forecast

Forest Chemicals Review ◽

10.17762/jfcr.vi.159 ◽

2021 ◽

pp. 255-271

Author(s):

Fan Wu, Lei Zhu

Keyword(s):

Soil Moisture ◽

Control System ◽

Water Resources ◽

Fuzzy Controller ◽

Irrigation System ◽

Weather Forecast ◽

Water Saving ◽

Utilization Rate ◽

Rainfall Forecast ◽

Irrigation Control

Based on the current research on lack of water resources and irrigation in China, on the basis of this paper puts forward a intelligent water-saving irrigation system based on rainfall forecast, designed with sensors and the wireless communication module of sensor nodes, the smart irrigation control system, introduced the local weather forecast, the water demand for crops is analyzed, Determine the optimum soil moisture during the growing season and extend irrigation time; Considering whether it will rain in two days, by the matlab fuzzy logic toolkit, designed the fuzzy controller and fuzzy controller, the rainfall tests show that system can independently according to the crop water requirement and weather forecast information to drive the solenoid valve to complete intelligent irrigation, at the same time send farmland environmental information remote control center to set, broke through the regional restriction, It is of great significance for farmers to check farmland soil moisture information to improve the utilization rate of water resources in China.

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The Agricultural Use of Melt Water in Hopar Settlement, Pakistan

Annals of Glaciology ◽

10.1017/s0260305500007606 ◽

1989 ◽

Vol 13 ◽

pp. 35-39 ◽

Cited By ~ 10

Author(s):

David Butz

Keyword(s):

Water Allocation ◽

Sediment Load ◽

Irrigation System ◽

Growing Season ◽

Agricultural Irrigation ◽

Crop Cultivation ◽

Run Off ◽

Important Concern ◽

Melt Water ◽

Agricultural Use

Agricultural irrigation is an important use of melt water in the Karakoram Range of Pakistan; indeed all crop cultivation relies on melt water from small glaciers and/or snow and ice patches in the zone above 3500 m. Inhabitants of Hopar settlement utilize run-off from a cirque-shaped basin covering about 11.5km2 between 3600 and 4900 m a.s.l. to irrigate 280 ha of cultivated terraces in the altitudes 2500–3000 m. The characteristics of discharge from this basin require specific adaptions to be made by irrigators. In particular, access, turbulent flow, water temperature and sediment load are problematic, although water allocation is not an important concern because supply exceeds demand for most of the local growing season. Supply characteristics are outlined in the paper and are related to features of the indigenous irrigation system.

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Modernization versus Sustainability: Disintegrating Village Agro-ecocomplexes in the Dry Zone of Sri Lanka

Environmental Conservation ◽

10.1017/s0376892900021652 ◽

1991 ◽

Vol 18 (2) ◽

pp. 103-109 ◽

Cited By ~ 9

Author(s):

Rohana Ulluwishewa

Keyword(s):

Sri Lanka ◽

Forest Cover ◽

Crop Residues ◽

Irrigation System ◽

Paddy Fields ◽

Population Pressure ◽

Crop Cultivation ◽

Modern Development ◽

Dry Zone ◽

The Village

The agro-ecocomplexes of traditional villages in the Dry Zone of Sri Lanka included four major components, namely crop cultivation, animal husbandry, fishery, and forestry. While these four components collectively provided practically all the food and other needs of the village inhabitants, the ecological interactions between these components contributed to the sustainability of the village agro-ecocomplex. Thus the livestock were used to provide draught power for farming, and were fed on crop residues and straw, their dung being used to fertilize the soil. Fishery was mainly on irrigated paddy fields and in the irrigation system, while the fish on the paddy fields consumed harmful insects and worms, and provided fertilizer in their excreta. The village forest on the catchment area, and the trees sparsely grown on the cultivated area and in the irrigation system, substantially contributed to maintain the natural productivity, yielding firewood, timber, and various foods. In this manner, the village agro-ecocomplex functioned to satisfy the needs of its human inhabitants without impairing its own sustainability.This village agro-ecocomplex system is now in the process of disintegration owing to structural, technological, and institutional, changes brought about by modem development. The reason is that these modern development strategies were basically designed to raise the production of the land-area rather than to preserve the productivity of the given agro-ecocomplex. For while farm mechanization displaced the draught animals, the increased population pressure of more and more humans reduced the grazing lands. Both modern development and population pressure had destructive effects on the forest cover, while increased utilization of agrochemicals adversely affected the fish culture on paddy fields. In this way, livestock, fishery, and forestry, all became insignificant or at least insufficient, and were de-linked from crop cultivation. In consequence, the village agro-ecocomplex has become de-stabilized, and dependence on external inputs has increased so greatly that self-sustainability of the village agro-ecocomplex has ceased to exist except in some remote areas.

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