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Technology of information systems; Farm information systems; Organization of farm information systems; Industry application.
Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res
Collection of lectures delivered by eminent librarians and information scientists in India.
For the research manager; The agricultural research management information system; Developing a management information system five case studies; For the information manager; Information systems for administration; Scientific information; Aspects of information science and technology.
For nearly a century, scientific advances have fueled progress in U.S. agriculture to enable American producers to deliver safe and abundant food domestically and provide a trade surplus in bulk and high-value agricultural commodities and foods. Today, the U.S. food and agricultural enterprise faces formidable challenges that will test its long-term sustainability, competitiveness, and resilience. On its current path, future productivity in the U.S. agricultural system is likely to come with trade-offs. The success of agriculture is tied to natural systems, and these systems are showing signs of stress, even more so with the change in climate. More than a third of the food produced is unconsumed, an unacceptable loss of food and nutrients at a time of heightened global food demand. Increased food animal production to meet greater demand will generate more greenhouse gas emissions and excess animal waste. The U.S. food supply is generally secure, but is not immune to the costly and deadly shocks of continuing outbreaks of food-borne illness or to the constant threat of pests and pathogens to crops, livestock, and poultry. U.S. farmers and producers are at the front lines and will need more tools to manage the pressures they face. Science Breakthroughs to Advance Food and Agricultural Research by 2030 identifies innovative, emerging scientific advances for making the U.S. food and agricultural system more efficient, resilient, and sustainable. This report explores the availability of relatively new scientific developments across all disciplines that could accelerate progress toward these goals. It identifies the most promising scientific breakthroughs that could have the greatest positive impact on food and agriculture, and that are possible to achieve in the next decade (by 2030).
Goals and objectives; Five themes; Three types of information; Network development; Network options; Technology choices; Software and hardware; Organization and management; Demonstration sites; Major elements of the strategy.
Due to such factors as poor economic conditions, climate change, and conflict, food security remains an issue around the world and especially in developing nations. Rapid changes in technology over the last decade has brought a renewed focus on how information and communication technologies (ICTs) and application systems are deployed to improve rural competitiveness. Unfortunately, agricultural stakeholders in developing countries, particularly in Africa, have not been able to reap comparable benefits from adopting agricultural information systems as compared to their counterparts in the developed economies. Understanding the challenges that hinder the effective adoption of agricultural information systems and identifying opportunities or innovations is imperative to improve the agricultural sectors and overcome the problems in these developing economies. Opportunities and Strategic Use of Agribusiness Information Systems is an essential reference book that examines the key challenges that hinder the effective adoption of agricultural information systems. Moreover, it identifies and evaluates opportunities for the strategic deployment of ICTs and information systems to drive agricultural development for the benefit of agricultural sector stakeholders in emerging countries. While highlighting such topics as agricultural entrepreneurship, food value chain, and innovation systems, it is intended to provide sound and relevant frameworks and tools that will aid agricultural industry practitioners, smallholder farmers, and managers of agricultural extension systems looking to make more effective and responsible decisions when selecting, planning, deploying, and managing agribusiness information systems. It is additionally targeted for agricultural funding organizations, government policymakers, academicians, researchers, and students concerned with exploiting the potential of a variety of ICTs and information systems in the quest to achieve food security and poverty reduction in emerging economies.
Environmental information systems (EIS) are concerned with the management of data about the soil, the water, the air, and the species in the world around us. This first textbook on the topic gives a conceptual framework for EIS by structuring the data flow into 4 phases: data capture, storage, analysis, and metadata management. This flow corresponds to a complex aggregation process gradually transforming the incoming raw data into concise documents suitable for high-level decision support. All relevant concepts are covered, including statistical classification, data fusion, uncertainty management, knowledge based systems, GIS, spatial databases, multidimensional access methods, object-oriented databases, simulation models, and Internet-based information management. Several case studies present EIS in practice.