Research Into And Implementation Of Web-Based Irrigation Scheduling System

Irrigation is a very important aspect of agricultural production, especially for crops in dry areas. Now industrial and domestic water requirements are increasing rapidly. So under such circumstances, reasonable allocation and use of agricultural water resources is meaningful and valuable. Establishing a Web-based irrigation scheduling service is an important practice which helps accommodate pressure on water resources. Personalized water deficit forecasting has been developed and used for many years in agriculturally developed countries. It can spread to drought-prone areas of China, through appropriate implementation of this system.This system calculates daily potential evapotranspiration (ETo) by inputting weather data into either the Penman or Penman-Monteith equations. It estimates daily actual evapotranspiration (ETc) using a dual crop coefficient approach. Actual evapotranspiration is a significant variable in the water balance calculation. It links daily rainfall, irrigation amount and soil bypass flow to calculate an immobile water deficit. By using an internal drainage model, we can get both the daily deficit and residual mobile water. Finally, the immobile water deficit and mobile water loss make up a total soil water loss. Such predictions can then be readily verified by the best soil water monitoring techniques.While realizing the core calculations, this implementation uses new features of computer programs linked to mainstream website applications, affording a platform for many related specialties, which include functionality, security, data integrity, easy operating and aesthetic property. This system shows and stores most intermediate variables in the core calculations, which is helpful for debugging and comparison of alternative system models. Through improvement of related algorithms, it improves the calculating speed and the whole process of calculation becomes simpler. The author uses Ajax, WebGIS and XML to improve the display efficiency and operating performance, while using Web Services and Socket to extend the running platform and scope for extended use by operators. Furthermore, the GD library, PDF library and other API have been used to display soil water deficit predictions. The author also adopts genetic algorithm, artificial neural network and grey model to predict ETo, when parts of the record of weather data are unavailable. Using registration in the front end helps keep statistics of user identity and activity. The system depends on user rank to allocate different rights to them, while a user score is used to access valuable weather, soil and crop data. The resource center can provide users with research papers relevant to this system, which improves users' knowledge and comprehension. The back end of this system carries out powerful system management, and also perspicuous rights management. There are two versions for this system, Chinese and English. This feature is useful for users from both China and other countries, and also provides a possibility of making this system a reference for foreign peers.Development of this system provides drought areas in north China with quick and high efficiency network tool for irrigation management and sharing of related information. This is a fusion of new computer technology and practical water balance calculations necessary for agricultural irrigation. It is a new method to improve irrigation efficiency and push forward water-saving agriculture.