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NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2011

Sammendrag

ClimaRice is a research project on climate change adaptation and rice production, livelihoods and food security in Tamil Nadu and Andhra Pradesh, India (http://www.bioforsk.no/climarice/). One objective of ClimaRice is to explore the potential for use of mobile technologies in the context of climate change adaptation in agriculture. Modern mobile telephone technology is a key component of the ongoing communication revolution which in turn has great potentials for social change and development. Farmers deal with day to day variability in weather conditions. This adaptation of farmers, e.g. towards weather forecasts, could be viewed as a short term analogy to the long term adaptations to climate change. Improved access to weather forecasts and other relevant warnings of weather driven events relevant to rice cropping such as plant pest and disease forecasting is another priority of ClimaRice. Most farmers are already using mobile phones for various day to day needs, but the technology has a wider potential in supporting their main profession; agriculture. Linking mobile technology with adaptation measures developed in ClimaRice projects could form new and powerful measures to meet the threats from climate change and provide support in sustaining rice production. As a first step ClimaRice researchers are using mobile technology to collect field research data when taking observations and conducting survey interviews in the field. The major advantages of a work flow based on mobile field data collection is that the sampled data can be directly posted from the field and stored in an online central database, reducing the risk of data loss. The integrated support for determining geographical position (GPS) automates the procedure of associating such information with the observations taken. The location information can also be used for quality control, e.g. to check whether the observations are taken in accordance with a predefined sampling plan. In addition to improving quality and efficiency of field data collection, valuable experience about performance of mobile phones under tropical field conditions is expected. Important aspects that will be considered are battery capacity under operational data collection, network coverage, screen visibility etc.