Research And Implementation Of Intelligent Decision System For Water And Fertilizer Of Facility Vegetable Based On Data Mining

With the improvement of people’s life quality, green vegetable more and more popular with consumers.In traditional agricultural production activities, it is very prominent that water and fertilizer are unscientific used.In order to pursue high yield, Farmers in the production activities often used excessive fertilizer, not only leding to a serious waste of water and fertilizer resources,but also environmental pollution and the risk of damage to the structure of soil nutrients. Therefore,the design and implementation of Intelligent Decision System for Water and Fertilizer of Facility Vegetable to maintain a high and stable foundation on vegetables can give full play to the application of information technology in agriculture, formulate scientific and reasonable water and fertilizer management system, thus to provide a scientific basis for precision agriculture and meet the people’s demand on the quality of vegetable.The main contents are as follows:(1)By means of the Internet of things technology,we build the greenhouse vegetable greenhouse soil temperature and humidity real-time acquisition, storage, and analysis processing system to accumulate material for later study.(2)In this paper, the water and fertilizer decision-making model for facilities vegetables is researched, analyzed and constructed.On the basis of database, knowledge base, model base, the acquired data is cleaned, loaded, and integrated as data warehouse.On the basis of the data warehouse, we used data mining and online analytical processing(OLAP) to analyze and deal with the detected data, and we constructed the decision model in accordance with the corresponding model,(3) The application principles of fuzzy neural network algorithm was determined in water-saving irrigation model, which was finally designed to calculate the volume of irrigation based on this algorithm, providing basis for water-saving irrigation.(4)Using of data mining based on fuzzy neural network technology 、 online analytical processing technology and artificial intelligence technology, developed and implemented Intelligent Decision System for Water and Fertilizer of Facility Vegetable Based on Data Mining. Systems include: knowledge and learning function and intelligent decision-making features, knowledge and learning capabilities include: massif and selection, seeding and breeding, seedling management,planting management, intelligent decision-making features include: water saving irrigation,precision fertilization, diseases and insect pests.In this paper, Jilin Province World Bank Loan Project " Facility Vegetable Production Safety Technology Research and Application Based on Networking" and the Jilin Provincial Agriculture Commission project "Greenhouse Vegetable Greenhouse Based on Internet of Things" and other issues as the basis.Combined with the internet of things technology, data warehouse, data mining, online analytical processing and expert systems, built Intelligent Decision System for Water and Fertilizer of Facility Vegetable is designed to provide scientific basis for agricultural workers in water saving irrigation,precision fertilization terms, finally realize the goal of saving energy, saving water, reducing pesticide residue, protecting the environment and improving the quality of vegetables.