GreenEve2Peace: an advising and scheduling management platform for farming community

Advising farmers and managing schedules of farming activities by Muda Agricultural Development Authority (MADA) are manually done by publishing notices on notice boards for each area. MADA staff also broadcast farming scheduling information to farmers using mobile loud speaker while driving through each area. Currently, farmers depend on weather forecast information such as local weather websites, and TV and radio weather forecast for planning of farming activities. Weather forecast is important to farmers because adverse weather conditions would affect the farming activities. Currently, no computerized support application that can replace the manual method of helping the farming community to manage their daily farming activities and provide accurate weather forecast information is available. Our proposed platform, GreenEve2Peace is designed to advise farmers on paddy planting acivities as well as to manage farming activities by providing inexpensive and fast delivery of information to farmers

[1]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[2]  Earl Oliver,et al.  Characterizing the transport behaviour of the short message service , 2010, MobiSys '10.

[3]  Elizabeth Passano,et al.  Onboard Screening of Forecast Weather During Installation , 2008 .

[4]  A. R. Gainguly.  A hybrid approach to improving rainfall forecasts , 2002 .

[5]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[6]  Efraim Turban,et al.  Decision Support Systems and Intelligent Systems (7th Edition) , 2004 .

[7]  James Kadirire.  The short message service (SMS) for schools/conferences , 2005 .

[8]  Efraim Turban,et al.  Decision support systems and intelligent systems , 1997 .

[9]  Auroop R. Ganguly.  A hybrid approach to improving rainfall forecasts , 2002, Comput. Sci. Eng..

[10]  Zengzhang Guo,et al.  The study of rainfall forecast based on neural network and GPS precipitable water vapor , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.

[11]  L.L. Lai,et al.  Intelligent weather forecast , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[12]  Marco Dorigo,et al.  Swarm intelligence: from natural to artificial systems , 1999 .