Neural network model-based agricultural precise fertilization system and fertilization method thereof

Abstract

The invention relates to a neural network model-based agricultural precise fertilization system comprising a sensor data acquisition module for collecting a farmland soil parameter. The output terminal of the sensor data acquisition module is connected with a database connected to a central processor by a gateway and a data transmission module successively; and the input terminal and the output terminal of the central processor are respectively connected with input and output terminals of an RS remote sensing module, a GPS positioning module, a GIS geographic information module, a DSS crop growth decision support module. In addition, the invention also discloses a fertilization method of the neural network model-based agricultural precise fertilization system. According to the invention, division is carried out based on function modules; and the information level degree and the automation level degree are high. Results of the neural network research of the artificial intelligence technology field are integrated; sufficient approximation of any complex non-linear relation can be realized by using the neural network; and learning and self adaption of an uncertain system can be carried out. A neural network model is established and thus fertilization decision making is carried out according to maximizing of ecological benefits and economic benefits, thereby providing a method basis for the variable-rate fertilization practice.

Description

technical field [0001] The invention relates to the technical field of farmland fertilization in a precision agriculture system, in particular to an agricultural precision fertilization system and a fertilization method based on a neural network model. Background technique [0002] The traditional agricultural production technology is carried out with large plots as the management unit. The environment and soil factors in the plots of thousands of mu are very different. Such production technology will cause an imbalance between application and demand, and cannot fully develop crops. Growth potential, affecting economic and ecological benefits. Precision agriculture is a crop production management technology integrated and assembled based on global satellite positioning technology, modern information management technology, crop auxiliary decision support technology and agricultural engineering equipment technology. The accuracy of agricultural production and cultivation mana...

AI Technical Summary

Problems solved by technology

The most difficult point of precision fertilization is to formulate a decision-making model. Since the target yield is difficult to estimate accurately, the yield and soil nutrients, fertilization amount and other influencing factors are highly nonlinear. The existing traditional fertilization model is in contradiction with the current production practice. A large amount of accumulated data is difficult to guide production practice

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