基于网络技术的果树病虫害预警信息化平台的设计与实现
|
摘要
[目的]针对江苏丘陵地区设施果业高速发展和病虫害预警的迫切需求,结合丘陵地区果树病虫害的特点和规律,构建果树病虫害防治预警网络服务平台。[方法]通过SQL Server数据库和Web浏览器构建出界面友好的人机交互方式,实现果树病虫模块、科学用药指导模块和科普知识模块的可视化;通过数据库和规则库实现远程诊断模块和网络预警模块的推理机制,同时针对疑难病虫害设置专家答疑模块。对丘陵地区广泛种植的葡萄、草莓、梨、桃等果树的常见病虫害进行远程预警和防治,实现果树病虫害的远程诊断、天气预报、科学用药指导、种植知识科普以及专家线上互动交流等功能。[结果]本平台集病虫害概括、远程诊断、网络预警和信息咨询服务为一体,能有效提高江苏丘陵地区果业生产及管理的效率,提高果树病虫害远程诊断的准确率和效率,降低防治成本,在理论上指导农户科学种植防护及用药。[结论]果树病虫害预警信息化平台能显著帮助果农实现节水节药、增产增收,值得进一步推广。
[Objectives]In view of the rapid development of facility fruit industry and the urgent need of early warning of diseases and insect pests in the hilly area of Jiangsu Province,a network service platform for early warning of fruit pest prevention and control was established according to the characteristics and laws of fruit pests in the hilly area. [Methods]A friendly human-computer interaction mode was constructed through SQL Server database and Web browser to realize visualization of fruit tree diseases and pests module,scientific medication guidance module and popular science knowledge module,and the reasoning mechanism of remote diagnosis module and network early warning module were realized through database and rule base,aiming at difficult diseases and pests at the same time. An expert answer module was set up. The common diseases and insect pests of grape,strawberry,pear and peach planted extensively in hilly area were early warned and prevented by remote monitoring. The functions of remote diagnosis,weather forecast,scientific medication guidance,popularization of planting knowledge and interactive exchange of experts were realized. [Results]The platform integrates disease and insect pest summary,remote diagnosis,network early warning and information consulting services. It can effectively improve the efficiency of fruit production and management in hilly areas of Jiangsu Province,improve the accuracy and efficiency of remote diagnosis of fruit diseases and insect pests,and reduce the cost of control. It can theoretically guide farmers to scientifically plant protection and medication. [Conclusions]The information platform for early warning of fruit tree diseases and insect pests can significantly help fruit growers to save water and medicine,and increase both production and income,which is worthy of further promotion.
[Objectives]In view of the rapid development of facility fruit industry and the urgent need of early warning of diseases and insect pests in the hilly area of Jiangsu Province,a network service platform for early warning of fruit pest prevention and control was established according to the characteristics and laws of fruit pests in the hilly area. [Methods]A friendly human-computer interaction mode was constructed through SQL Server database and Web browser to realize visualization of fruit tree diseases and pests module,scientific medication guidance module and popular science knowledge module,and the reasoning mechanism of remote diagnosis module and network early warning module were realized through database and rule base,aiming at difficult diseases and pests at the same time. An expert answer module was set up. The common diseases and insect pests of grape,strawberry,pear and peach planted extensively in hilly area were early warned and prevented by remote monitoring. The functions of remote diagnosis,weather forecast,scientific medication guidance,popularization of planting knowledge and interactive exchange of experts were realized. [Results]The platform integrates disease and insect pest summary,remote diagnosis,network early warning and information consulting services. It can effectively improve the efficiency of fruit production and management in hilly areas of Jiangsu Province,improve the accuracy and efficiency of remote diagnosis of fruit diseases and insect pests,and reduce the cost of control. It can theoretically guide farmers to scientifically plant protection and medication. [Conclusions]The information platform for early warning of fruit tree diseases and insect pests can significantly help fruit growers to save water and medicine,and increase both production and income,which is worthy of further promotion.
引文
[1] 郭延虎,张志强.果树病虫害防治中的农药污染及对策[J].河北果树,2010(1):33-35.Guo Y H,Zhang Z Q.Pesticide pollution and countermeasures in pest control of fruit trees[J].Hebei Fruit Trees,2010(1):33-35(in Chinese).
[2] 许延松.果树病虫害防治误区及对策[J].现代农业科技,2010(5):172.Xu Y S.Mistaken ideas and countermeasures for pest control of fruit trees[J].Modern Agricultural Science and Technology,2010(5):172(in Chinese).
[3] 王越,杜海燕,赵雪辉.基于物联网的苹果树病虫防治专家系统的设计与应用探索[J].农业网络信息,2018(8):15-17.Wang Y,Du H Y,Zhao X H.Design and application of expert system for apple tree pest control based on Internet of Things[J].Agricultural Network Information,2018(8):15-17(in Chinese).
[4] 姜猛,王军,王志军,等.苹果树病虫害决策支持系统研究与集成[J].山东农业科学,2015,47(6):129-133.Jiang M,Wang J,Wang Z J,et al.Research and integration of decision support system for apple tree diseases and insect pests[J].Shandong Agricultural Sciences,2015,47(6):129-133(in Chinese with English abstract).
[5] 戴建国,赖军臣.基于图像规则与Android手机的棉花病虫害诊断系统[J].农业机械学报,2015,46(1):35-44.Dai J G,Lai J C.Image-rule-based diagnostic expert system for cotton diseases and pests based on mobile terminal with Android system[J].Transsactions of the Chinese Society for Agricultural Machinery,2015,46(1):35-44(in Chinese with English abstract).
[6] Martin F C,Baggett T,Wolfe T,et al.Using sampling theory to build a more universal forest vegetation database[J].Computers and Electronics in Agriculture,2000,28(2):119-132.
[7] Srivastava A,Nagpal B N,Saxena R,et al.GIS based malaria information management system for urban malaria scheme in India[J].Biomedicine,2003,71(1):63-75.
[8] 贾启勇,高灵旺,李志红,等.基于Web GIS的病虫害预测预报预警平台系统[J].中国植保导刊,2007(9):27-30.Jia Q Y,Gao L W,Li Z H,et al.Prediction and early warning platform system for pests and diseases based on Web GIS[J].China Plant Protection,2007(9):27-30(in Chinese).
[9] 邱靖,吴瑞武,杨毅,等.基于产生式的水稻病虫害专家系统知识库构建[J].现代农业科技,2015(10):330-332.Qiu J,Wu R W,Yang Y,et al.Knowledge base construction of rice diseases and insect pests expert system based on production[J].Modern Agricultural Technology,2015(10):330-332(in Chinese with English abstract).
[10] 张元宝.农业专家系统的构建与应用[D].兰州:兰州大学,2013:33-34.Zhang Y B.Construction and application of agricultural expert system[D].Lanzhou:Lanzhou University,2013:33-34(in Chinese with English abstract).
[11] 邓立苗,孙华丽,于仁师.茶树病虫害远程诊断系统的构建[J].安徽农业科学,2015,43(14):311-313.Deng L M,Sun H L,Yu R S.Construction of remote diagnosis system for tea plant diseases and insect pests[J].Journal of Anhui Agricultural Science,2015,43(14):311-313(in Chinese with English abstract).
[12] 翟景先.水稻病虫害防治技术[J].新农业,2014(1):18-19.Zhai J X.Rice pest and disease control technology[J].New Agriculture,2014(1):18-19(in Chinese).
[13] 刘志成,宁云智.数据库系统原理与应用(SQL Server 2005)[M].北京:北京机械工业出版社,2010:145-146.Liu Z C,Ning Y Z.Principle and Application of Database System(SQL Server 2005)[M].Beijing:Beijing Machinery Industry Press,2010:145-146(in Chinese).
[14] 王卫文.远程诊断专家系统在城市森林病虫害防治中的应用[J].中国城市林业,2004(5):52-54.Wang W W.Application of remote diagnosis expert system in pest control of urban forest[J].Journal of Chinese Urban Forestry,2004(5):52-54(in Chinese).
[15] 陈步英,褚建立.机械设备故障诊断专家系统的构建[J].微计算机信息,2007,23(9):200-201.Chen B Y,Chu J L.The construction of machinery fault diagnosis expert system[J].Microcomputer Information,2007,23(9):200-201(in Chinese with English abstract).
[2] 许延松.果树病虫害防治误区及对策[J].现代农业科技,2010(5):172.Xu Y S.Mistaken ideas and countermeasures for pest control of fruit trees[J].Modern Agricultural Science and Technology,2010(5):172(in Chinese).
[3] 王越,杜海燕,赵雪辉.基于物联网的苹果树病虫防治专家系统的设计与应用探索[J].农业网络信息,2018(8):15-17.Wang Y,Du H Y,Zhao X H.Design and application of expert system for apple tree pest control based on Internet of Things[J].Agricultural Network Information,2018(8):15-17(in Chinese).
[4] 姜猛,王军,王志军,等.苹果树病虫害决策支持系统研究与集成[J].山东农业科学,2015,47(6):129-133.Jiang M,Wang J,Wang Z J,et al.Research and integration of decision support system for apple tree diseases and insect pests[J].Shandong Agricultural Sciences,2015,47(6):129-133(in Chinese with English abstract).
[5] 戴建国,赖军臣.基于图像规则与Android手机的棉花病虫害诊断系统[J].农业机械学报,2015,46(1):35-44.Dai J G,Lai J C.Image-rule-based diagnostic expert system for cotton diseases and pests based on mobile terminal with Android system[J].Transsactions of the Chinese Society for Agricultural Machinery,2015,46(1):35-44(in Chinese with English abstract).
[6] Martin F C,Baggett T,Wolfe T,et al.Using sampling theory to build a more universal forest vegetation database[J].Computers and Electronics in Agriculture,2000,28(2):119-132.
[7] Srivastava A,Nagpal B N,Saxena R,et al.GIS based malaria information management system for urban malaria scheme in India[J].Biomedicine,2003,71(1):63-75.
[8] 贾启勇,高灵旺,李志红,等.基于Web GIS的病虫害预测预报预警平台系统[J].中国植保导刊,2007(9):27-30.Jia Q Y,Gao L W,Li Z H,et al.Prediction and early warning platform system for pests and diseases based on Web GIS[J].China Plant Protection,2007(9):27-30(in Chinese).
[9] 邱靖,吴瑞武,杨毅,等.基于产生式的水稻病虫害专家系统知识库构建[J].现代农业科技,2015(10):330-332.Qiu J,Wu R W,Yang Y,et al.Knowledge base construction of rice diseases and insect pests expert system based on production[J].Modern Agricultural Technology,2015(10):330-332(in Chinese with English abstract).
[10] 张元宝.农业专家系统的构建与应用[D].兰州:兰州大学,2013:33-34.Zhang Y B.Construction and application of agricultural expert system[D].Lanzhou:Lanzhou University,2013:33-34(in Chinese with English abstract).
[11] 邓立苗,孙华丽,于仁师.茶树病虫害远程诊断系统的构建[J].安徽农业科学,2015,43(14):311-313.Deng L M,Sun H L,Yu R S.Construction of remote diagnosis system for tea plant diseases and insect pests[J].Journal of Anhui Agricultural Science,2015,43(14):311-313(in Chinese with English abstract).
[12] 翟景先.水稻病虫害防治技术[J].新农业,2014(1):18-19.Zhai J X.Rice pest and disease control technology[J].New Agriculture,2014(1):18-19(in Chinese).
[13] 刘志成,宁云智.数据库系统原理与应用(SQL Server 2005)[M].北京:北京机械工业出版社,2010:145-146.Liu Z C,Ning Y Z.Principle and Application of Database System(SQL Server 2005)[M].Beijing:Beijing Machinery Industry Press,2010:145-146(in Chinese).
[14] 王卫文.远程诊断专家系统在城市森林病虫害防治中的应用[J].中国城市林业,2004(5):52-54.Wang W W.Application of remote diagnosis expert system in pest control of urban forest[J].Journal of Chinese Urban Forestry,2004(5):52-54(in Chinese).
[15] 陈步英,褚建立.机械设备故障诊断专家系统的构建[J].微计算机信息,2007,23(9):200-201.Chen B Y,Chu J L.The construction of machinery fault diagnosis expert system[J].Microcomputer Information,2007,23(9):200-201(in Chinese with English abstract).