This paper has been presented at the Fifth International Seminar on Dynamics of Farmer Managed Irrigation Systems: Socio-Institutional, Economic and Technical Context, Kathmandu, Nepal, 25-26 March 2010, organized by Farmer Managed Irrigation System Trust. International Water Management Institute, the then International Irrigation Management Institute (IWMI) began its activities in Nepal since 1986 with a Memorandum of Understanding with His Majesty's Government of Nepal, now the Government of Nepal.
This analysis evaluates a real world complex intervention to study the impacts of an agricultural value chain development program on livelihood outcomes, in hill and mountainous regions of Nepal. The intervention was not designed for the study and no baseline data existed to compare the final outcomes. Data came from a carefully designed household survey administered to 3,028 households (50% beneficiaries and other 50% non-beneficiaries) across seven districts in Western Nepal.
This paper is based on the 8th GLOBELICS International Conference: Making Innovation Work for Society (1 - 3 November 2010, University of Malaya, Kuala Lumpur, Malaysia). The paper presents three projects of the Research Into Use Program, located in South asia, which are applying three agriculture value chain development oriented knowledge for wider use. Practical aspects of the process and roles played by different types of ageincies in the innovation are discussed.
This paper has been prepared from a transcript of a presentation at the Crawford Fund 2017. This talk is a synthesis of some of the emerging issues we are seeing in the digital revolution, and how we can overcome the barriers to digitalised agricultural systems in the developing world
Water is a vital and scarce resource in agriculture and its optimal management is emerging as a key challenge. This paper presents an automated irrigation system to reduce water utilization in agriculture by combining the Internet of Things (IoT), cloud computing and optimization tools. The automated irrigation system deploys low cost sensors to sense variables of interest such as soil moisture, pH, soil type, and weather conditions. The data is stored in Thingspeak cloud service for monitoring and data-storage.