Water-Saving Irrigation Management and Decision Support System Based on WEBGIS

Abstract

Part 1: Decision Support Systems, Intelligent Systems and Artificial Intelligence ApplicationsInternational audienceTo improve the management of irrigation district is a key to develop water-saving agriculture. Based on the basic principles of water-saving irrigation, and using the method of Modified Penman Monteith and water balance equation, The system of irrigation management and decision support based on WEBGIS was developed, which is according to the soil moisture, crop growth status, meteorology change and the physiological and ecological index of crop that is monitored, and the situation of water supply and crop water-saving irrigation system were also combined with the system. With the help of the GIS, the system under discussion can predict the water requirement of the irrigation district so as to optimize the allocation of the water resources, to provide a decision support for irrigation managers, and to finally realize desirable irrigation practice. Besides, it will promote the automation, informationization, and intelligent of the irrigation district management

A Water-saving Irrigation Decision-making Model for Greenhouse Tomatoes based on Genetic Optimization T-S Fuzzy Neural Network

“…Harmanto et al, [10] Singh et al [11] and other studies have reached the same conclusion. Based on the complexity and real-time of irrigation process, Chen et al [12] developed a water-saving irrigation management and decision support system software and made irrigation forecasts to determine the precise irrigation time and irrigation volume. However, there are still deficiencies in timeliness and dynamics.…”

“…Based on previous researches [8][9][10][11][12][13][14][15][16], this paper combined fuzzy theory with neural network to make decisions for water-saving irrigation with T-S fuzzy neural network based on genetic optimization for greenhouse tomatoes. This method overcomes the problem of low accuracy in fuzzy system, and it has better effect than the system which only uses the artificial neural network (ANN).…”

“…The crop coefficient is a reflection of the physiological characteristics of the crop itself. It is related to crop types, farming conditions, soil fertility, crop leaf area, yield levels, and growth period [12]. Crop coefficient can be obtained in two ways.…”

Greenhouse Irrigation Optimization Decision Support System

“…In the field of irrigation, [6] developed an integrated scenario-based multi-criteria decision support system (SMC-DSS) for planning water resources management in the Haihe River Basin. [7] developed the software for water-saving irrigation management and decision support system in the light of the complexity and real-timeliness of water use management in farmland irrigation.…”