and    consumption. Biosafety measures must be formulated and adopted for    nanotechnology research and development activities with the active    participation of all stakeholders to ensure that socioeconomic and ethical    concerns are addressed. Countries may consider adopting a legally-binding    international standard or protocol on the assessment of nanotechnology    products and processes to ensure safety for human and animal health and the    environment. 
        5.3.6     Precision agriculture 
          Precision    agriculture is a comprehensive system designed to optimize agricultural    productivity while minimizing production costs, fertilizer, pesticide and    water inputs and adverse environmental effects through the application of    crop information, advanced technology and management practices (NRC, 1997).    The main ideas behind precision agriculture are understanding spatial    variability of soil properties, crop status and yield within a field;    identifying the reasons for yield variability; making farming prescription    and crop production management decisions based on variability and    knowledge;  implementing  site-specific  field     management operations; evaluating the efficiency of treatment; and    accumulating spatial resource information for further management decision    making (Wang, 2001). Simply put, this translates to using the appropriate    inputs at the optimal times in the appropriate ways.  
               Precision agriculture may include the    integration of geographic information systems (GIS) or remote sensing    technology with farm management and technologies to improve crop and    livestock production in terms of product quality, environmental issues and    the welfare of people and livestock (Cox, 2002). The suite of technologies    currently used include GIS hardware and software, variable-rate application    equipment for seed, fertilizer and pesticide, grid soil sampling, low-volume    irrigation, soil fertility and weed population sensors, yield monitoring    capability and remote sensing imagery. Attention to soil quality, efficient    water management, IPM, INM and efficient postharvest management are all    important in precision farming (Persley and Doyle, 1999). 
      5.3.6.1  Impact 
        Most formal    and informal agricultural research and extension systems in the ESAP region    currently provide blanket fertilizer and pesticide recommendations for large    productions areas. Yet, on-farm studies in double and triple-rice cropping    systems in India, Indonesia, Thailand and Vietnam present evidence of huge    field-to-field variation in native soil nitrogen (N) supply where the    variation was not associated with soil organic matter content, total N, or    other measures of soil N availability (Olk et al., 1999). Given this    variation, site-specific nutrient and pesticide management is more efficient    and could have positive economic and human and environmental health benefits    (Cassman, 1999). Although there is a potential for benefits from precision    agriculture, these have not yet been well-documented (Auernhammer, 2001). As    most of the technologies involved are expensive as well as data- and    knowledge-intensive, their implementation and adoption is likely to be slow    and variable in developing countries of ESAP.  | 
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    5.3.6.2   Challenges 
      Adoption of    precision agriculture has been relatively slow even in developed ESAP    countries such as Australia,    Japan and New Zealand.    Causes of slow adoption in Australia    include: (1) cost of adoption, (2) lack of perceived benefit from adoption,    (3) unwillingness to be early adopters and (4) lack of a technology delivery    mechanism (Cook et al., 2000). These obstacles are likely to impede adoption    in developing countries, but lack of reliable information and data (GIS    coverage, satellite imagery, soil maps) as well as expertise, equipment and    small land holdings can also represent important barriers.  
           As with the dissemination of almost any    new technology-oriented intervention,     precision  agriculture  is     likely to be adopted first by resource-rich farmers in areas with high    yield potential, with poorer farmers and particularly women, benefiting    later, if at all. However, it may be possible to improve rural livelihoods    in rainfed and marginal areas in the ESAP region by disseminating elements of    precision agriculture that do not call for sophisticated technologies like    GIS, but rely on quick, easy to use, cheap tests and measures of soil, crop    and pest infestation parameters. Such low-investment, low-technology    interventions could improve production efficiencies through a combination of    conservation agriculture practices such as IPM and INM and efficient    postharvest management. Public and private sector investment will be needed    to develop scientific capacity and technology transfer and support    mechanisms (Cassman, 1999). It will also require educating extension agents    and farmers to use locally-adapted seed, diagnose limiting factors, predict    yields and input requirements and modify management regimes accordingly. 
        5.3.7     Information and communication    technologies (ICT) 
          Limited    access to information has been a major hurdle facing low-income farmers,    extension agents, civil society organization workers and others in the    agricultural sector throughout the ESAP region. Possibilities for ICT    application in agriculture include facilitating the access of rural communities    to information on efficient farm management and the market through radio and    TV shows as well as computer kiosks. GIS and related tools provide    information on land use/ land cover, water quality, productivity, tidal    influence and coastal infrastructure, and can increase the efficiency and    sustainability of coastal fisheries and shrimp farming (Ra-jitha et al.,    2007). New and emerging agricultural technologies depend heavily on advances    in ICT and would not be possible without applications that support    high-throughput genetic and genomic work and the manipulation, analysis and    interpretation of large sets of data. Further, ICT has resulted in    "knowledge management" (KM), the creation, dissemination and    utilization of knowledge by combining organizational dynamics and knowledge    engineering with ICT (Flor, 2001). Much of the KM experience has been limited    to the private sector, but organizations such as the World Bank, FAO and    CGIAR have also launched initiatives.  
               The proliferation of ICT in the form of    radios, telephones, televisions and computers and more recently, GIS, remote    sensing and the use of information technology in  |