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

Water ◽  
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.

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

Agronomy ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 369 ◽  
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.

scholarly journals Optimizing Irrigation Depth Using a Plant Growth Model and Weather Forecast

2018 ◽  
Vol 10 (7) ◽  
pp. 55 ◽  
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.

scholarly journals Crop Recommendation and Automated Irrigation System

2020 ◽  
Vol 9 (4) ◽  
pp. 1458-1462
Keyword(s):  
Crop Production ◽  
Irrigation System ◽  
Weather Condition ◽  
Precision Farming ◽  
Market Demand ◽  
Moisture Sensor ◽  
Use Of Resources ◽  
The Government ◽  
Iot Devices ◽  
Automated Irrigation System

The system provides a crop suggestion system which suggests the farmer the most profitable crop they can grow with the available resources, weather condition and market demand. This will be achieved with the help of data provided by the government and other sources. Smart farming also known as precision farming is the implementation of IoT in agriculture with the help of IoT devices, cloud internet and further analysis of data collected for precision farming. Through this system a farmer will be notified time to time about the condition of soil through analysing various parameters in soil like humidity, pH and temperature of the surrounding. With the help of humidity sensor and soil moisture sensor the condition of soil will be monitored and based on the condition, irrigation will be supplied automatically. This will reduce the wastage of water in irrigation and the crops will get precise amount of water supply. We will be using drip irrigation which is an efficient way of irrigation for orchard crops, vegetables, cash crops, flowers, spices, oil seed, forest crops. Integrating the efficient irrigation technique and automating it for precise irrigation will help to maintain the crop health with efficient use of resources. Adding to the irrigation system we also analysed the past crop production, state wise data for predicting the production and profitability of individual crop and suggest them to the farmer so that it will be profitable to farmers.

THE USE OF WEB APPLICATIONS FOR THE SELECTION OF CROP GROWING TECHNOLOGIES

2018 ◽  
Vol 48 (3) ◽  
pp. 84-90 ◽  
Author(s):  
E. A. Lapchenko ◽  
S. P. Isakova ◽  
T. N. Bobrova ◽  
L. A. Kolpakova
Keyword(s):  
Web Application ◽  
Crop Production ◽  
Web Applications ◽  
Weather Forecast ◽  
Technical Institute ◽  
Software Complex ◽  
Agricultural Enterprise ◽  
Weather Situation ◽  
The Web ◽  
Selection Of

It is shown that the application of the Internet technologies is relevant in the selection of crop production technologies and the formation of a rational composition of the machine-and-tractor fl eet taking into account the conditions and production resources of a particular agricultural enterprise. The work gives a short description of the web applications, namely “ExactFarming”, “Agrivi” and “AgCommand” that provide a possibility to select technologies and technical means of soil treatment, and their functions. “ExactFarming” allows to collect and store information about temperature, precipitation and weather forecast in certain areas, keep records of information about crops and make technological maps using expert templates. “Agrivi” allows to store and provide access to weather information in the fi elds with certain crops. It has algorithms to detect and make warnings about risks related to diseases and pests, as well as provides economic calculations of crop profi tability and crop planning. “AgCommand” allows to track the position of machinery and equipment in the fi elds and provides data on the weather situation in order to plan the use of agricultural machinery in the fi elds. The web applications presented hereabove do not show relation between the technologies applied and agro-climatic features of the farm location zone. They do not take into account the phytosanitary conditions in the previous years, or the relief and contour of the fi elds while drawing up technological maps or selecting the machine-and-tractor fl eet. Siberian Physical-Technical Institute of Agrarian Problems of Siberian Federal Scientifi c Center of AgroBioTechnologies of the Russian Academy of Sciences developed a software complex PIKAT for supporting machine agrotechnologies for production of spring wheat grain at an agricultural enterprise, on the basis of which there is a plan to develop a web application that will consider all the main factors limiting the yield of cultivated crops.

Enhancing effectivity of automated irrigation system using fuzzy logic

2021 ◽  
Author(s):  
S. Krishna Bhat ◽  
Sukanya S. Kumar ◽  
Keerthana Krishnakumar ◽  
Sherin Shaju ◽  
Pankaj Kumar G.
Keyword(s):  
Fuzzy Logic ◽  
Irrigation System ◽  
Automated Irrigation System

An automated irrigation system for optimized greenhouse using IoT

2021 ◽  
Author(s):  
E. Seethalakshmi ◽  
Meenakshi Shunmugam ◽  
R. Pavaiyarkarasi ◽  
Sneha Joseph ◽  
J. Edward paulraj
Keyword(s):  
Irrigation System ◽  
Automated Irrigation System

scholarly journals Water Scarcity and Sustainability in an Emerging Economy: A Management Perspective for Future

2020 ◽  
Vol 13 (1) ◽  
pp. 144
Author(s):  
Dianxi Zhang ◽  
Muhammad Safdar Sial ◽  
Naveed Ahmad ◽  
António José Filipe ◽  
Phung Anh Thu ◽  
...  
Keyword(s):  
Water Scarcity ◽  
Environmental Sustainability ◽  
Crop Production ◽  
Irrigation System ◽  
Climatic Conditions ◽  
Water Crisis ◽  
Rapid Urbanization ◽  
Global Issue ◽  
Management Perspective ◽  
Emergency Measures

Water scarcity is rising as a global issue, because the planet earth is facing a global water crisis, which is considered something that can destroy environmental sustainability of our planet. The fact is that humanity’s demand is depleting natural resources faster than nature can replenish itself; if human habits and unsustainable use of water resources do not change, water scarcity will inevitably intensify and become a major cause of conflict among different nations of the world. The water scarcity issue is a crucial issue but unfortunately it has not received due attention in past. Pakistan, which once was a water abundant country, now facing a situation of water scarcity. Pakistan has a poor irrigation system which results 60% loss of its water; Pakistan uses more water for crop production than other countries. Likewise, the country harvests water from rainfall, rivers, snow, and glaciers. The country is facing a serious water crisis that is caused by different factors, such as changing climatic conditions, rising population, poor irrigation system, poor political will, and rapid urbanization. The water crisis of Pakistan is expected to worsen in coming years. This is a drastic situation which calls for emergency measures. With this background, the present study provides a detailed view of the water situation in the country with challenges to water management. The study also suggests some recommendations for policymakers to improve the water crisis situation in the future.

scholarly journals Detection and thermal description of medicanes from numerical simulation

2014 ◽  
Vol 14 (5) ◽  
pp. 1059-1070 ◽  
Author(s):  
M. A. Picornell ◽  
J. Campins ◽  
A. Jansà
Keyword(s):  
Numerical Simulation ◽  
Thermal Structure ◽  
Weather Prediction ◽  
Weather Forecast ◽  
Small Scale ◽  
Medium Range Weather Forecast ◽  
Warm Core ◽  
Strong Winds ◽  
Nwp Model ◽  
Ecmwf Model

Abstract. Tropical-like cyclones rarely affect the Mediterranean region but they can produce strong winds and heavy precipitations. These warm-core cyclones, called MEDICANES (MEDIterranean hurriCANES), are small in size, develop over the sea and are infrequent. For these reasons, the detection and forecast of medicanes are a difficult task and many efforts have been devoted to identify them. The goals of this work are to contribute to a proper description of these structures and to develop some criteria to identify medicanes from numerical weather prediction (NWP) model outputs. To do that, existing methodologies for detecting, characterizating and tracking cyclones have been adapted to small-scale intense cyclonic perturbations. First, a mesocyclone detection and tracking algorithm has been modified to select intense cyclones. Next, the parameters that define the Hart's cyclone phase diagram are tuned and calculated to examine their thermal structure. Four well-known medicane events have been described from numerical simulation outputs of the European Centre for Medium-Range Weather Forecast (ECMWF) model. The predicted cyclones and their evolution have been validated against available observational data and numerical analyses from the literature.

scholarly journals Effect of livestock production on the economic efficiency of irrigation systems

2006 ◽  
Vol 51 (2) ◽  
pp. 177-187 ◽  
Author(s):  
Petar Gogic
Keyword(s):  
Economic Efficiency ◽  
Crop Production ◽  
Net Present Value ◽  
Crop Yields ◽  
Irrigation System ◽  
Livestock Production ◽  
Economic Effects ◽  
Field Crop ◽  
System Utilization ◽  
Price Relationship

The aim of the study was to examine the effect of livestock production on the economic efficiency of investments in irrigation projects. The study was based on a model focused on field crop/livestock production using the data of crop yields in field crop production with or without irrigation, financial results of cattle fattening and milk production and the input and output price relationship. The influence of livestock production on the economic effects of irrigation system utilization was evaluated using the indices of economic efficiency of investments - internal rate of return, net present value and pay-back period. The data on the amount of investments required for the construction of the irrigation system, economic benefit achieved by optimizing production under both irrigated and non-irrigated conditions, with and without livestock production were used to determine these indices.

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