Our objective is to propose an architecturally generic Cloud-based system to accommodate multiple scenarios where farms need to be remotely monitored and recorded data must be analyzed by a computing system and become available to be visualized by specialists or by the farmers themselves. The consid
Development of Monitoring Cloud Computing Platform for Agriculture
Our objective is to propose an architecturally generic Cloud-based system to accommodate multiple scenarios where farms need to be remotely monitored and recorded data must be analyzed by a computing system and become available to be visualized by specialists or by the farmers themselves. The consideration of this project is to create a cloud computing infrastructure which will connect different agriculture service providers to a central data store. The services may be in the form of information/responses to different queries raised by the farmers, automatic suggestions to farmers for time to time to improve their farming skills, provide specific slots in lands where the problem exists in visual formats, automatically update the farmers that which crop is suitable in their area based on various factors, provide special features to farmers where they can also interact with local and world leading agriculturists, update the farmers as pre disaster recovery and provide general and specific information about international markets relating to their crops. The data collected by the concerned providers will be sent to the data store via underlying computerized system, where it will be accessible to all connected farmer support centers.
The overall functionality of the monitoring and analysis system involves the following steps:
1. Farms are equipped with a wireless sensor attached to specific points and a mobile device that is capable of communicating to the Internet;
2. The wireless sensor module collects farm’s data and forwards it the mobile device via Bluetooth without user intervention;
3. A client software in the mobile device transmits the data to the analysis Web Service, which is hosted by a Cloud computing-based software stack. This communication can happen with a home wireless gateway or directly via the mobile’s data connectivity (e.g. mobile 3G network);
4. The analysis software carries out numerous computations over the received data taking the reference from the existing demographic data, and the farm’s historic data. Computations concern comparison, classification, and systematic diagnosis of farm lines, which can be time-consuming when done for long time periods for large number of farmers;
5. The software then appends the latest results to the historic record maintained in private and secure Cloud-based storage, so that authenticated users can access it anytime from anywhere. Agriculturists will later interpret the features extracted from the data and decision is made accordingly.
6. The results in form of advice are disseminated to the farmer’s mobile device and/or monitor,
7. The monitoring and computing processes are repeated according to user’s preference, which may be hourly or daily over a long period of time.
Given its turnkey nature, cloud computing can make a significant difference in mobilizing resources in emergencies.
| Information/Infrastructure Model Development (Sensor Deployment/Mobile) | |
| Service Model Development (Data Collection) | |
| Process Model Development (Data Transmission to Web) | |
| Governance Model Development (Analysis, Computations & Diagnostic) | |
| Creating Test-bed and Testing Cloud (Advice dissemination to Mobile & Historic Data) | |
Information/Infrastructure Model Development
(Sensor Deployment/Mobile)
Service Model Development
(Data Collection)
Process Model Development
(Data Transmission to Web)
Governance Model Development
(Analysis, Computations & Diagnostic)
Creating Test-bed and Testing Cloud
(Advice dissemination to Mobile & Historic Data)
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Create the Information Model | Information/Infrastructure Model Development |
| Month 2 | Understand the Data | (Sensor Deployment/Mobile) |
| Month 3 | Create a Service Model | Service Model Development |
| Month 4 | Build Service Model | (Data Collection) |
| Month 5 | Create a Process Model | Process Model Development |
| Month 6 | Build Process Model | (Data Transmission to Web) |
| Month 7 | Create a Governance Model | Governance Model Development |
| Month 8 | Test Cloud Architecture | (Analysis, Computations & Diagnostic) |
| Month 9 | Test Cloud Architecture | Creating Test-bed and Testing Cloud |
| Month 10 | Create Test Plan, Back & White Box Testing | Creating Test-bed and Testing Cloud |
| Month 11 | Select Platform & Deploy Process, Services & Data | (Advice dissemination to Mobile & Historic Data) |
| Month 12 | Assigning Candidate Data, Services & Process | Product |
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