The Research Of Maize Precise Fertilization Decision System Based On Ontology

The maize is one of the three major food crops in China, it occupies an important position in the national economy. The primary purposes and functions of the maize have undergone changes, it is the important to feed and industrial raw materials. In order to adapt to the livestock industry’s steady growth and respond to the needs of international market challenges, it is necessary to speed up the development of maize production, and guarantee the effective supply, to stabilize grain production is an urgent task.The precise fertilization is one of the core of the precision agriculture, according to the different regions, different soil types, plant growth conditions, soil nutrient content, yield level and crop types, make a scientific formula for N, P, K and other trace elements and organic manure, make the effective fertilization, reduce the decline in product quality and environmental pollution due to excessive fertilization,and reduce its cost.Ontology is the clear and formal description of the concepts in the field, it can make to reach domain knowledge consensus between the different areas, make the mutual understanding between man and machine, between machine and machine, solve the heterogeneous problem of the system and interoperability, achieve knowledge sharing and reuse.This article introduced ontology into in the field of the maize production, explored and practiced in it, according to ontology to provide sharing concepts model of maize production field, building the semantic space, it can better solve the problems of the semantic interoperability and knowledge sharing and machine understanding, which will benefit the maize intelligent systems development. In this paper, the research work completed:(1) In the basis of collecting a large number of ontology-related domestic and international literatures, studied and researched the theoretical knowledge of ontology, understood the thinking and process of the maize ontology building; under the guidance of the agricultural production domain experts, established the various factors of the precision fertilization of corn, and mastered a certain amount of domain knowledge; through practice, under the guidance of the seven-step method, established classes, properties, properties restrictions and individuals of the terminology in the field of maize fertilization by top-down and step-by-step refinement method, used the ontology building tool-Protege to build the maize precision fertilization ontology and took the ontology consistency check to determine the correctness of the ontology, and used the OWL language to describe the maize ontology.(2) Based on the maize precision fertilization ontology, combined with the expertise of the experts in the field, further established the system functions, developed maize precision fertilization decision system based on the ontology; because of the big influence of the maize missing element deficiencies for the maize yield and quality, the system functions mainly implemented on the diagnosis of the maize nutrient deficiency symptoms, that is performed the maize nutrient deficiency diagnosis according to the different growth periods of lack of factors, drawn diagnostic conclusions, given the plants pictures and corresponding control measures.(3) According to the nutrient deficiency diagnostic conclusions, used nutrient balance method to perform the maize top dressing decisions, given the amount of the missing nutrients for the maize dressing, guided the rational fertilization of farmers, and applied in the town of Yushu City Gongpeng small scale, achieved some success.According to constructing the maize precision fertilization ontology in this paper, it solved the problems of the maize precision fertilizer data, such as decentralized, not standardized, and not conducive to management; it is a new idea and method of the maize precision fertilization, it has some theoretical and practical values.