Abstract
Holistic information systems for climate-smart agriculture demands the seamless integration of various categories of climate, meteorological and weather data. Any actor in the agricultural value chain may harness weather forecasts at the short and medium-range, local weather history, and prevailing climatic conditions, to inform decision-making. Weather is fundamental to many day-to-day operations, especially at farm-level, influencing decision-making at various spatial and temporal scales. Many operational decisions ideally require hyper-localized service provision. In practice, integrating weather information into decision-support services demands a comprehensive understanding of various categories of weather-related data, their genesis, as well as the specific standards and data formats used by the meteorological community. This paper considers the weather as a crucial context for the delivery of farm-level operational services in smart agriculture, highlighting critical issues for reflection by system designers during the service design and implementation phases.
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