iFarm: Development of cloud-based system of cultivation management for precision agriculture
Precision agriculture is aimed at optimizing farming management and it requires records of agricultural work. Farmers conventionally write records on paper but it is difficult and tedious to check past agricultural-work data and control the cost of agricultural products. A system of cultivation management, iFarm, is proposed, which was developed to support efficient farming management. The system consists of smartphone applications, Web browsers and a cloud server. Farmers on farmland can easily refer to work plans, enter field data into the cloud system, and share them with head office in real time by using smartphones. Farmers at head office can analyze data in the cloud system with a Web browser and estimate farming costs and form work plans based on their analyses.
Cloud Computing for Agriculture
With advancement in technology things are becoming simpler and easier for us. More importance is given to automatic systems than manual system. Through this project we have tried to show how to Design Raspberry pi IOT based Google cloud computing [1] agriculture automatic system. Earlier, we looked into the face of future when we talked about machine controlled devices, which could do anything on incitement of a controller, but today it has become an actuality. An automated device can replace good amount of human working force, moreover humans are more prone to errors and in intensive conditions [2] thus using automated systems the probability of error increases. Whereas an automated device can work with diligence, versatile. ty and with almost zero error. This is why this project looks into construction and implementation of a system involving hardware to control a variety of electrical and electronics system and cloud computing. Agriculture Automation is not an economic thing to design as it contain PLCs which are expensive. We are going to implement Raspberry pi IOT based Google cloud computing agriculture Automation.
云计算中面向隐私保护的查询处理技术研究 = Privacy-preserving query processing in cloud computing
A vital concern in cloud computing is how to protect both data privacy and query privacy while providing query services for users. This paper surveys several critical techniques of privacy-preserving query processing in cloud computing, which include cloud database indexing, query optimization, encryption-based privacy-preserving techniques, privacy-preserving techniques based on secure multi-party computation and authorization auditing techniques. Finally, the paper analyzes the challenges of privacy-preserving query processing in cloud computing and figures out the trend of this area.