Information technology: the global key to precision agriculture and sustainability

The paper reviews developments in technology which are contributing to global improvements in crop and livestock production, in terms of product quality, environmental considerations and the welfare of people and livestock. The means by which we acquire, apply and communicate the requisite information are reviewed under separate headings. These phases are related to the concept of precision agriculture, taken broadly, to apply to both crop and livestock production. The final section deals with current views on future developments.

[1]  S. Blackmore.  The interpretation of trends from multiple yield maps , 2000 .

[2]  Hermann Auernhammer,et al.  Automatic process data acquisition with GPS und LBS , 2000 .

[3]  Richard J. Godwin,et al.  The habitat creation model: a decision support system to assess the viability of converting arable land into semi-natural habitat , 2000 .

[4]  Wang Maohua.  Possible adoption of precision agriculture for developing countries at the threshold of the new millennium , 2001 .

[5]  Herman Bouwer,et al.  Integrated water management: emerging issues and challenges , 2000 .

[6]  S. M. Khaffaf,et al.  Application of unsupervised clustering methods to the assessment of malodour in agriculture using an array of conducting polymer odour sensors , 1997 .

[7]  J. A. Marchant,et al.  Computer vision for potato inspection without singulation , 1990 .

[8]  J. V. Stafford,et al.  Exploring soil spatial variation geostatistically. , 1999 .

[9]  H. Auernhammer,et al.  Introduction: Global positioning systems in agriculture , 1994 .

[10]  Heinz Dieter Kutzbach,et al.  Trends in Power and Machinery , 2000 .

[11]  R. E. King,et al.  Special issue: Advances in greenhouse environmental control. Selected and edited papers from the First IFAC Workshop on Control Applications and Ergonomics in Agriculture (CAEA '98), June, 1998, Athens, Greece. , 2000 .

[12]  Peter Crossley.  An expert system for the prediction of total vehicle and road operating costs in developing countries , 1998 .

[13]  A.J.M. Timmermans,et al.  Computer vision system for on-line sorting of pot plants using an artificial neural network classifier , 1996 .

[14]  Christopher J. Pollock,et al.  Farming for the future: biotechnology and engineering in perfect harmony? , 2000 .

[15]  J W Gardner and P N Bartlett,et al.  Electronic Noses: Principles and Applications , 1999 .

[16]  Roland Bunch.  Keeping it simple: what resource-poor farmers will need from agricultural engineers during the next decade. , 2000 .

[17]  P H Abelson,et al.  Computers and electronics , 1982, Science.

[18]  S. W. R. Cox,et al.  Measurement and Control in Agriculture , 1997 .

[19]  Egil Berge.  Advancement by the integration of elementary improvements into superior systems. , 2000 .

[20]  Andrew Quinn,et al.  Modelling the dispersion of aerial pollutants from agricultural buildings — an evaluation of computational fluid dynamics (CFD) , 2001 .

[21]  David Lamb,et al.  PA—Precision Agriculture: Remote-Sensing and Mapping of Weeds in Crops , 2001 .

[22]  Tetsuo Morimoto,et al.  An intelligent approach for optimal control of fruit-storage process using neural networks and genetic algorithms , 1997 .

[23]  H. Murase,et al.  Environmental Control Strategies Based on Plant Responses Using Intelligent Machine Vision Technique , 1995 .

[24]  C. P. Crossley,et al.  ETCON, an expert system for conservation based land use planning in the Ethiopian Highlands , 1994 .

[25]  J. R. Riley,et al.  Signal processing in a novel radar system for monitoring insect migration , 1996 .

[26]  G.P.A. Bot,et al.  Developments in indoor sustainable plant production with emphasis on energy saving , 2001 .

[27]  Gary W. Krutz,et al.  Advanced Engineering: Future Directions for the Agricultural and Biological Engineering Profession☆ , 2000 .

[28]  Jan Top,et al.  Exchanging crop trials information: standardization by means of data model templates , 2000 .

[29]  Allan Leck Jensen,et al.  Pl@nteInfo® : a web-based system for personalised decision support in crop management , 2000 .

[30]  S. Christensen,et al.  Colour and shape analysis techniques for weed detection in cereal fields , 2000 .

[31]  Thomas Nejsum Madsen,et al.  An application for early detection of growth rate changes in the slaughter-pig production unit , 2000 .

[32]  R. Godwin,et al.  CUMULATIVE MASS DETERMINATION FOR YIELD MAPS OF NON-GRAIN CROPS , 1999 .

[33]  Andrew Y. Muir,et al.  Defect and disease detection in potato tubers , 1999, Other Conferences.

[34]  Rudolf Artmann,et al.  Electronic identification systems: state of the art and their further development , 1999 .

[35]  Andrew J Scarlett,et al.  Integrated control of agricultural tractors and implements: a review of potential opportunities relating to cultivation and crop establishment machinery , 2001 .

[36]  J. V. Stafford,et al.  Implementing precision agriculture in the 21st century. , 2000 .

[37]  R. P Van Zuydam.  A driver's steering aid for an agricultural implement, based on an electronic map and Real Time Kinematic DGPS , 1999 .

[38]  W. E. Larsen,et al.  Precision navigation with GPS , 1994 .

[39]  Gerhard Jahns,et al.  Development and application of an agricultural BUS for data transfer , 1999 .

[40]  W. Lechner,et al.  Global Navigation Satellite Systems (GNSS) , 1994 .

[41]  A. A. Jongebreur,et al.  Strategic Themes in Agricultural and Bioresource Engineering in the 21st Century , 2000 .

[42]  Tetsuo Morimoto,et al.  An intelligent control for greenhouse automation, oriented by the concepts of SPA and SFA — an application to a post-harvest process , 2000 .

[43]  R. D. Tillett,et al.  Using model-based image processing to track animal movements , 1997 .

[44]  Erik Jørgensen,et al.  Calibration of a Monte Carlo simulation model of disease spread in slaughter pig units , 2000 .

[45]  James C. Ascough,et al.  Object-oriented simulation of integrated whole farms : GPFARM framework , 2000 .

[46]  Ibtisam E. Tothill,et al.  Biosensors developments and potential applications in the agricultural diagnosis sector , 2001 .

[47]  David J. Parsons,et al.  Optimising Fungicide Applications on Winter Wheat using Genetic Algorithms , 2004 .

[48]  Haruhiko Murase,et al.  Artificial intelligence in agriculture , 2000 .

[49]  P. Chen,et al.  NMR for internal quality evaluation of fruits and vegetables , 1989 .

[50]  D. Ordolff,et al.  Experiments on automatic preparation of milk samples in connection with milking robots , 1997 .

[51]  Martin Geyer,et al.  A PRESSURE MEASURING SPHERE FOR MONITORING HANDLING OF FRUIT AND VEGETABLES , 1996 .