System Development for Potato Crop Growth Management Tao Zheng, Meng Cheng, Hong Sun *, Minzan Li, Wei Yang, Lihua Zheng, Man Zhang Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China. sunhong@cau.edu.cn A large number of data on the growth of potato crops and environmental parameters were collected through the sensor during the growth of the potato crop. In order to improve management efficiency and provide production decisions, a system for potato crop growth management was developed. The system can store, retrieve, manage and make decision on potato crop growth, and provide guidance for real-time monitoring and optimization of crop growth process. The system is a convenient, fast, efficient and low-cost agricultural management system. Introduction The system selected the current mainstream J2EE architecture, SSH framework, the database using MySQL, and the application of Eclipse for system development, forming a clear framework to improve the reusability of t Methods Non-destructive detection of chlorophyll content of potato crop leaves can indicate crop growth and guide field management. The hyper-spectral images of 65 potato leaves were collected and divided into 400 regions of interesting (ROI) Meanwhile the SPAD values of these 400 ROI Experiment and Discussion , g g y Fig. 1 SSH framework components. (ROI). Meanwhile, the SPAD values of these 400 ROI samples were measured. All of the data mentioned above could be managed by the system. After long-term operation, the software system ran normally. Moreover, the data could achieve the correct load and output. In the future, the system could be optimised and used to connect with the farmland information collection device. Wh th t i th fi ld Th i d t Th t i di id d i t f d l i f ti When the sensors were set up in the field. The sensing data could be collected data every 5 minutes and sent it to the server. The software system then retrieved the data from the server for management and subsequent processing. The system is divided into four modules information platform and auxiliary functions. i. Common operation module related to the management for farmland data and user data. ii. System management module viewed the data collected in the experiment and spectral data analysis results. iii. Information platform module mainly aimed at the function of agriculture warning. iv. Auxiliary functions module had a very strong expansibility, and viewed the mapping analysis and so on. Fig. 3 The system operating result The system reduced a large number of system requirements analysis and system development costs, and provided Fig. 2 The structure of software system effective information support for special users with specific needs. The system makes it easy for people to search and query information about growing potato crops. 1. The system considered the optimal allocation of environmental resources, cultivated land resources, Conclusions and Acknowledgements varieties and chemical fertilizers, such as light and warm water produced by potato crop. 2. The system realized the data synchronization between the server and the browser. Users could make real- time use of information to make timely agricultural decision-making. 3. This study was supported by Research on Rapid Diagnosis Method and Mechanism of Nitrogen Nutrition of Dry-planted Potato Crops Supported by the National Natural Science Foundation of China (31501219). 照片 Tao Zheng