Agriculture is one of the economic sectors that affect climate change contributing to greenhouse gas emissions directly and indirectly. There is a trend of agricultural greenhouse gas emissions reduction, but any practice in this direction should not affect negatively farm productivity and economics because this would limit its implementation, due to the high global food and feed demand and the competitive environment in this sector. Precision agriculture practices using high-tech equipment has the ability to reduce agricultural inputs by site-specific applications, as it better target inputs to spatial and temporal needs of the fields, which can result in lower greenhouse gas emissions. Precision agriculture can also have a positive impact on farm productivity and economics, as it provides higher or equal yields with lower production cost than conventional practices. In this work, precision agriculture technologies that have the potential to mitigate greenhouse gas emissions are presented providing a short description of the technology and the impacts that have been reported in literature on greenhouse gases reduction and the associated impacts on farm productivity and economics. The technologies presented span all agricultural practices, including variable rate sowing/planting, fertilizing, spraying, weeding and irrigation.

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Effects of climate change on productivity of agricultural crops in relation to diseases that attack them are difficult to predict because they are complex and nonlinear. To investigate these crop-disease-climate interactions, UKCIP02 scenarios predicting UK temperature and rainfall under high-and low-CO 2 emission scenarios for the 2020s and 2050s were combined with a crop-simulation model predicting yield of fungicide-treated winter oilseed rape and with a weather-based regression model predicting severity of phoma stem canker epidemics. The combination of climate scenarios and crop model predicted that climate change will increase yield of fungicide-treated oilseed rape crops in Scotland by up to 0.5 t ha 21 (15%). In contrast, in southern England the combination of climate scenarios, crop, disease and yield loss models predicted that climate change will increase yield losses from phoma stem canker epidemics to up to 50 per cent (1.5 t ha 21) and greatly decrease yield of untreated winter oilseed rape. The size of losses is predicted to be greater for winter oilseed rape cultivars that are susceptible than for those that are resistant to the phoma stem canker pathogen Leptosphaeria maculans. Such predictions illustrate the unexpected, contrasting impacts of aspects of climate change on crop-disease interactions in agricultural systems in different regions.

Ambitious targets to reduce greenhouse gas (GHG) emissions from agriculture have been set by both national governments and their respective livestock sectors.

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Dairy farming is an industry which could potentially mitigate a large amount of greenhouse gas emissions. However, perception and acceptance towards climate change is a significant barrier to voluntary adoption of best practice techniques. A number of countries have set targets for reducing emissions, of which Scotland has one of the most ambitious agendas. This paper presents results from an extensive survey of 540 dairy farmers, conducted in 2009, with the aim of understanding attitudes, values and intentions towards climate change. Only half of these farmers agreed that temperatures would rise in the future and this could significantly hinder adoption of voluntary measures to meet emissions targets. To explore this further a typology was developed on the responses to attitude and value statements, using principal components and cluster analysis methods. Six distinct types were found to exist which had a range of outlooks towards the impact of climate change in the future. However, five of the six types stated no intention to adopt practices which would reduce emissions. The typology approach supports diversified engagement strategies and a more innovation-led or resource maximisation view towards farming was expressed by several of these types. This may indicate that policy makers should focus on 'win-win' technologies as a means to effectively engage with these. However, a number of types were disengaged from the process which was driven by uncertainties towards projections for global warming and this needs to be addressed by both scientists and policy makers to ensure greater participation within the farming community.

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