Data Mining for a Model of Irrigation Control Using Weather Web-Services

Kovalchuk, Volodymyr; Demchuk, Olena; Демчук, Д. В.; Voitovich, O. P.

doi:10.1007/978-3-319-91008-6_14

Cited by 8 publications

(11 citation statements)

References 10 publications

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“…The discovery of hidden information is achieved by running data mining algorithms that combine statistics with computer science to mine valuable information from a seemingly meaningless data jumble. Data mining can be applied in various fields such as engineering (Adekitan et al., 2019; Saini and Aggarwal, 2018), business management (Zuo et al., 2016), marketing and product design (Jin et al., 2019), computer science (Mahendra et al., 2019), education (Ibrahim et al., 2019; Porouhan, 2018), genetics (Noreña et al., 2018), biological studies (Gu et al., 2018), facility maintenance management (Miguel-Cruz et al., 2019), health and drug development studies (Keserci et al., 2017), chemistry and toxicity analysis (Saini and Srivastava, 2019), meteorology (Kovalchuk et al., 2019), transportation safety (Divya et al., 2019) and traffic management (Amiruzzaman, 2019), fraud detection (Vardhani et al., 2019), and so forth. In the educational sector, volumes of data are daily generated from various teaching and learning activities within an institution.…”

Section: Introductionmentioning

confidence: 99%

The impact of engineering students' performance in the first three years on their graduation result using educational data mining

Adekitan

Salau

2019

Heliyon

122

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Research studies on educational data mining are on the increase due to the benefits obtained from the knowledge acquired from machine learning processes which help to improve decision making processes in higher institutions of learning. In this study, predictive analysis was carried out to determine the extent to which the fifth year and final Cumulative Grade Point Average (CGPA) of engineering students in a Nigerian University can be determined using the program of study, the year of entry and the Grade Point Average (GPA) for the first three years of study as inputs into a Konstanz Information Miner (KNIME) based data mining model. Six data mining algorithms were considered, and a maximum accuracy of 89.15% was achieved. The result was verified using both linear and pure quadratic regression models, and R 2 values of 0.955 and 0.957 were recorded for both cases. This creates an opportunity for identifying students that may graduate with poor results or may not graduate at all, so that early intervention may be deployed.

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Section: Introductionmentioning

confidence: 99%

The impact of engineering students' performance in the first three years on their graduation result using educational data mining

Adekitan

Salau

2019

Heliyon

122

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“…An assessment of the growth in water demand for a number of agricultural crops due to climate change for the Dnipro-Donbass canal zone (Ukraine) were made by the authors of this study and are given in (Kovalchuk P. et al 2021). Thus, the increased crop water demand for agricultural crops is replenished by irrigation (Kovalchuk et al 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

System management of irrigation under climate change conditions for determining the crop water demand and solutions for the water-saving

Kovalchuk

Yatsiuk

Kovalchuk

et al. 2023

Preprint

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When droughts occur and temperatures rise, water demand increases when growing crops. For these conditions, system management of irrigation is proposed as a system approach, which ensures the efficient use of water resources and their savings. A method for estimating the increase in water resources under climate change is proposed. The method is based on a comparison of water balance deficits, ranked by estimated moisture supply of the year, at two time intervals: in recent 30 years and in past decades before (1960–1990 and 1991–2021). System management of irrigation combines instrumental and calculative methods. Instrumental methods using an automated tensiometer and Watermark provide feedback on the daily soil moisture status in the field. According to the calculative methods, irrigation forecasting is carried out using Internet weather services and optimal control is carried out on a sliding interval. An algorithm of the instrumental-calculative method is proposed within system irrigation management. When the algorithm is combined with biologically optimal irrigation regimes, the effective use of available water is achieved. When using the parameters of water-saving irrigation regimes, water resources are saved up to 30%, which is important in a changing climate.

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“…В Інституті водних проблем і меліо рації НААН розроблено систему «Полив онлайн» [9], що використовує 5-денний прогноз погоди (для розрахунку евапотранспірації і врахування опадів) [10]. Бездротовий моніторинг вологості ґрунту і метеорологічних показників на полі у цій системі використову ється у якості зворотного зв'язку для керування вологістю ґрунту на полі і щоденної корекції прогнозованої вологості.…”

Section: постановка завданняunclassified

“…1), на яку впливають неконтрольовані зовнішні фактори, до яких належать температура та вологість повітря, опади, вітер, хмарність та атмосферний тиск. Вони прогнозуються синоптичним методом, який базується на використанні низки вияв лених закономірностей у розвитку атмос ферних процесів [10], з деяким наближенням, і використовуються у вигляді вхідних параме трів для блоку прийняття рішень (рис. 1).…”

Section: постановка завданняunclassified

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Monitoring Research of Field Soil Moisture to Provide Irrigation Management on the Base of an Experimental and Calculation Method

Voitovich

Kovalchuk

2019

LRaWM

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The article highlights the actual problems of monitoring studies of soil moisture and meteorological indicators for informational support of irrigation management systems. On the basis of literature analysis it is shown that soil moisture control can be carried out both directly on the results of soil moisture measurements and using calculated methods. In the presence of automatically obtained meteorological forecasting data, irrigation decisions are made using an experimental calculation method. Monitoring studies are part of the experiment and are used as feedback in soil moisture control. The purpose of the work is to develop an information component of soil moisture monitoring and meteorological indicators in the field to ensure a proper decision-making regarding irrigation by the experimental-calculation method. Soil moisture measurement is recommended using a variety of soil moisture sensors by indirect methods of determination. Various tensiometers, dielectric and resistive sensors can be used as sensors. They provide the feedback for irrigation management. The calculation part consists of the decision criterion for the beginning of irrigation, the balance method of calculating soil moisture or moisture reserves in the soil (or a multilayered mathematical model of moisture transfer in the presence of sufficient input parameters for that) using automatic meteorological forecast. The article is illustrated by the results of a laboratory model experiment and field research with automated measurement data transmission and feedback implementation in soil moisture control. The model laboratory experiment was used to test the design, technical and technological parameters of the equipment for automatic monitoring and testing of the experimental-calculation method. Practical forecasts, calculations and data acquisition of soil moisture and meteorological indicators for the implementation of feedback during the irrigation management are considered based on the example of a corn field in one of the experimental farms. The results of the laboratory experiment and field studies show the effectiveness of predicting soil moisture by this method. Monitoring data of soil moisture and meteorological indicators is the feedback. They are automatically transmitted and improve the accuracy of irrigation recommendations and allow for quick adjustments to forecast calculations. It is recommended to make daily soil moisture correction for direct automated field measurements using ground sensors. Further research in this area is to use one-dimensional multilayer models of moisture transfer. They provide accurate results but require more input parameters.

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Data Mining for a Model of Irrigation Control Using Weather Web-Services

Cited by 8 publications

References 10 publications

The impact of engineering students' performance in the first three years on their graduation result using educational data mining

The impact of engineering students' performance in the first three years on their graduation result using educational data mining

System management of irrigation under climate change conditions for determining the crop water demand and solutions for the water-saving

Monitoring Research of Field Soil Moisture to Provide Irrigation Management on the Base of an Experimental and Calculation Method

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