Research on Case Retrieval Algorithm in Satellite Remote Sensing Monitoring System for Agriculture

The acquisition means and expression methods of demands in intelligent agriculture result in the high complexity and low usability of the intelligent mechanic design methods. To reduce this complexity, improve the usability, and optimize the demand features of planter design, the real-time monitoring of the crops and the parameters in their growth environment is employed by combining the satellite remote-sensing technology with the network technology, and a hybrid similarity retrieval model is proposed in this paper. Moreover, to perform the multi-hierarchical case retrieval, the hierarchy and calculation methods of the algorithm are constructed in this model by integrating the distance similarity between features, the extension correlation degree between features, and the extension distance between features based on the design of the multi-hierarchy case base. The proposed method is applied to the digital design system of a spade planter and the cases most similar to the target case are obtained. The experimental results indicate that under the condition of the diverse data types of cases feature values, the proper history cases are obtained and the usability of the retrieval results is improved. © 2019, Editorial Dept. of JA. All right reserved.