Open Access
Subscription Access
Open Access
Subscription Access
Smart India Agricultural Information Retrieval System
Subscribe/Renew Journal
In the contribution of Information Retrieval System in Agricultural field provide innovative idea and improve cognitive level of farmer while farming. It evaluates the necessary requirements of farmer, Transporting farmer query to Exports, distributing data through web service without complication. The main aim of Information Retrieval system is to supply right information at the hand of right user at a right time. Hence, we implement multiple regression techniques with Search Based Analysis. To improve the Quality of data parsing between server to client and decrease the response time with high precision of Data respectively.
Keywords
Dataset Retrieval, Multiple Regression, Query Computation
User
Subscription
Login to verify subscription
Font Size
Information
- R. V. Kishor, K. P. Shatrughan, M. K. Balasaheb, M. B. Sadashiv, V. Sachin, V. V. Gaike, and M. Seetamraju, “Agromet expert system for cotton and soybeans crops in regional area,” 2018 International Conference on Advances in Communication and Computing Technology (ICACCT), Sangamner, India, Feb. 8-9, 2018.
- S. Karthi, “Crop provision and suggest various plantation category,” 2013.
- R. Magesh, “Improving geographical crop development and data sharing,” n.d.
- L. Shao, and X. Wang, “Variable rate fertilizer distributor in precision farming based on PLC technology,” 2011.
- C. Zhang, H. Fang, E. Yu, L. Lin, J. Tang, ..... and Z. Sun, “Building robust geospatial web services for agricultural information extraction and sharing,” 2017 6th International Conference on Agro-Geoinformatics, Fairfax, VA, USA, Aug. 7-10, 2017.
- A. Singh, and A. Sharma, “A framework for semantics and agent based personalized information retrieval in agriculture,” 2016.
- R. C. Burns, R. M. Rees, and D. D. E. Long, “Efficient data distribution in a web server farm,” 2006.
- M. Sreeja, and M. Sreeram, “Teacher less classroom: A new perspective for making social empowerment a reality,” 2014.
- A. Manjula, and G. Narsimha, “XCYPF: A flexible and extensible framework for agricultural crop yield prediction,” 2014.
- K. Sharma, “Research fertility spatial-temporal evolution pattern and crop precision fertility based on spatio-temporal data mining,” 2013.
- M.-H. Zhou, H.-B. Liu, and W. Wu, “Development of a web-based geographic information system for crop pests and diseases management,” 2010 2nd IEEE International Conference on Information Management and Engineering, Chengdu, China, Apr. 16-18, 2010.
- M. Rdulescu, and C. Z. Rdulescu, “Simulation and optimization for crop planning under risk,” 2010.
- K. R. Priyanka, “Initiative crop growth system and their importance with plantation development,” 2007.
- J. P. Kumar, S. Deshpande, and A. Inamdar, “Detection of fertilizer quantity in soil using hyper spectral data,” 2014.
- B. Golub, A. Hudz, and A. Dudnyk, “Production of biotechnological objects using business intelligence,” 2008.
- D. Grey, “Supporting precision agriculture with yield prediction,” 2012.
- Y. Yang, and Y. Chen, “Crab-expert: A web-based ES for crab farming,” 2004.
- J. Ma, X. Zhou, and S. Li, “Connecting agriculture to the internet of things through sensor networks,” 2003.
Abstract Views: 142
PDF Views: 0