Design And Implementation Of A Knowledge Model System For Maize Management

The knowledge model for maize management is the core content of intelligent and informatic cultivation system, and is a frontier field of digital agriculture theory and technology. This research focused on applying the system analysis principal and mathematic modeling technique to study the knowledge expression system for maize cultivation management, based on collecting, analysis the knowledge and data of maize cultivatural management and experts' experience, with the support of necessary experiment, after analysing, generalizing and extracting the relationship among maize growth character, management indexes, variety types, ecological environment and production level, by further system analysis and quantitative expression, a knowledge-model system with temporal and spatial characters for maize management, which based on the relation of crops and circumstance, was established.This system model includes two parts----pre-sowing plan design and dynamicregulation indexes prediction. The knowledge model for pre-sowing plan design includes submodels of target yield calculation, variety selection, sowing day, planting density and sowing rate, fertilization and water management. The knowledge model for the dynamic main regulation indexes includes submodels of suitable leaf age index, leaf area index, dry matter accumulation and source-sink index as the ratio of total grain number or grain weight to leaf area.The submodel for target yield prediction was developed based on the quantitative calculation of the radiation and temperature yield potential and cultivation management, which firstly based on the highest radiation and temperature yield potential, then considering on the average yield of last three years and the quantitative effect of the element such as temperature, water, soil fertility and cultivation management technology level. The knowledge model for variety selection was established based on the variety database, which includes a lot of variety character such as accumulated temperature, yield level, cold and diseases resistance and so on, by quantifying the relationships of variety character to eco-envirment and users' expectation, then give advices on which variety is suitable to choose. Suitable sowing day decide is based on the same pace between maize growing process and the suitable season, especially make the tassel period and silk period in the suitable situation as long as possible, concerned on the eco-sites plant period. After deciding the variety and sowing day, planting density depend...