A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water

Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the fra...

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Main Authors:	Baoying Shan, Ping Guo, Shanshan Guo, Zhong Li
Format:	Article
Language:	English
Published:	MDPI AG 2019-04-01
Series:	Sustainability
Subjects:	EEMD-ANN FA-TOPSIS water–fruit quality model irrigation scheduling pricing by quality
Online Access:	https://www.mdpi.com/2071-1050/11/7/2124

id	doaj-522efbcc8925476686a036c8f22f0b76
record_format	Article
spelling	doaj-522efbcc8925476686a036c8f22f0b762020-11-25T00:35:05ZengMDPI AGSustainability2071-10502019-04-01117212410.3390/su11072124su11072124A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to WaterBaoying Shan0Ping Guo1Shanshan Guo2Zhong Li3Centre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaCentre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaCentre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, ChinaDepartment of Civil Engineering, McMaster University, Hamilton, ON L8S4L8, CanadaDifferent from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode decomposition (EEMD-ANN) is used to decompose the original price time series into several subseries and then forecast each of them; (2) factor analysis and a technique for order of preference by similarity to ideal solution (FA-TOPSIS), as an integrated evaluation method, is used to comprehensively evaluate the fruit quality parameters; and (3) regression analysis is used to simulate water-yield and water-fruit quality relationships. The model is applied to a case study of greenhouse tomato irrigation schedule optimization. The results indicate that EEMD-ANN can improve the accuracy of price forecasting. Jensen and additive models are selected to simulate the relationships of tomato yield and quality with water deficit at various stages. Besides, the model can balance the contradiction between higher yields and better quality, and optimal irrigation scheduling is obtained under different market conditions. Comparison between the developed model and a traditional modeling approach indicates that the former can improve net benefits, fruit quality, and water use efficiency. This model considers the economic mechanism of market price changing with fruit quality. Forecasting and optimization results can provide reliable and useful advices for local farmers on planting and irrigation.https://www.mdpi.com/2071-1050/11/7/2124EEMD-ANNFA-TOPSISwater–fruit quality modelirrigation schedulingpricing by quality
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Baoying Shan Ping Guo Shanshan Guo Zhong Li
spellingShingle	Baoying Shan Ping Guo Shanshan Guo Zhong Li A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water Sustainability EEMD-ANN FA-TOPSIS water–fruit quality model irrigation scheduling pricing by quality
author_facet	Baoying Shan Ping Guo Shanshan Guo Zhong Li
author_sort	Baoying Shan
title	A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water
title_short	A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water
title_full	A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water
title_fullStr	A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water
title_full_unstemmed	A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water
title_sort	price-forecast-based irrigation scheduling optimization model under the response of fruit quality and price to water
publisher	MDPI AG
series	Sustainability
issn	2071-1050
publishDate	2019-04-01
description	Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode decomposition (EEMD-ANN) is used to decompose the original price time series into several subseries and then forecast each of them; (2) factor analysis and a technique for order of preference by similarity to ideal solution (FA-TOPSIS), as an integrated evaluation method, is used to comprehensively evaluate the fruit quality parameters; and (3) regression analysis is used to simulate water-yield and water-fruit quality relationships. The model is applied to a case study of greenhouse tomato irrigation schedule optimization. The results indicate that EEMD-ANN can improve the accuracy of price forecasting. Jensen and additive models are selected to simulate the relationships of tomato yield and quality with water deficit at various stages. Besides, the model can balance the contradiction between higher yields and better quality, and optimal irrigation scheduling is obtained under different market conditions. Comparison between the developed model and a traditional modeling approach indicates that the former can improve net benefits, fruit quality, and water use efficiency. This model considers the economic mechanism of market price changing with fruit quality. Forecasting and optimization results can provide reliable and useful advices for local farmers on planting and irrigation.
topic	EEMD-ANN FA-TOPSIS water–fruit quality model irrigation scheduling pricing by quality
url	https://www.mdpi.com/2071-1050/11/7/2124
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A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water

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