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Food supplyDeveloping a Sustainable Food and Farming SystemThe current research of Dr Wayne Martindale was presented to the Yorkshire Agricultural society Food and Farming Group. This presentation provided an outlook to other researchers evidence in the context of work being carried out by Wayne within CFI at SHU. This work is concerned with energy balances and resource use in the farm, food and consumer supply chain. The aim of the presentation is to show evidence for developing a sustainable food system. this ultimately means energy efficiency must be optimised and most modern farming systems that do this- that is conventional and integrated systems- will show the better energy returns. Organic systems do not show energy returns that are as favourable and they provide an excellent example of food markets where success is determined by a complex interaction of culture, market and external costs. Data capture in supply chains(1) sensors and remote sensing resources (2) applying sensor/data acquisition to policy and strategic planning (3) modelling natural resources Sensing NDVI : Detecting land use cover is becoming a pre-requisit for determining forecasts and impact of climate, agriculture and virtually any development. The value of Normalized Difference Vegetation Index (NDVI)has been shown across many disciplines. This site provides an idea of NDVI potential. The NDVI data set is available on a 16 day basis for the six year period between 2001 and 2006. The product is derived from bands 1 and 2 of the MODerate-resolution Imaging Spectroradiometer on board NASA's Terra satellite. A time-series of NDVI observations can be used to examine the dynamics of the growing season or monitor phenomena such as droughts. Power mapping: A satellite image of the Earth at night proves enlightening. Areas of high power utilization illuminate the Earth to provide a complex network of towns, cities and urban development. This approach is now reportedly used to provide even more accurate indicators of GDP than governmental reported statistics. important measures of GDP.
29 Degrees of freedom for crop yield? A recent report suggests that more accurate prediction of crop yields are now possible using degree days, indeed a critical point in degree days seems to be 29 Celsius. This is the threshold for determiation of decresed yields. Indeed the optimum emperature window for cereal crops might be limited with 25 Celsius being optimal and 29 Celsius devastating over prolonged periods. Such extension of Tsum methods can be of great use in forecasting crop yields and the data for this could be gathered remotely. ReferencesDefra. 2006. Food Industry Sustainability Strategy (FISS)
Last Updated: 24th September 2010 10:30
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