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Perspectives of Precision Agriculture in Conservation Agriculture

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Conservation Agriculture

Abstract

Conservation practices have clearly shown advantages in improving soil, water and air quality as well as reducing costs of operations. Conservation of natural resources is the base for a long-term sustainability of agricultural and natural ecosystems. Conservation Agriculture is not just conservation tillage, but a series of land management practices that include crop residues retention, cover crops, appropriate cropping system rotation, integrated pest management able to minimize land degradation. Because of the complexity associated with natural and agricultural ecosystems, a land management practice found to be sustainable at one site might not be equally sustainable at another site. Agricultural production systems are inherently variable due to spatial variation in soil properties, topography, and climate. To achieve the ultimate goal of sustainable cropping systems, variability must be considered both in space and time because the factors influencing crop yield have different spatial and temporal behavior. Advances in technologies such as Global Positioning Systems (GPS), Geographic Information Systems (GIS), remote sensing and simulation modeling have created the possibility to assess the spatial and temporal variability present in the field and manage it with appropriate site-specific practices. Such approach is commonly called Precision Agriculture or site-specific crop and soil management. The objective of this paper is to evaluate the potential use of Precision Agriculture principles and technology for Conservation Agriculture. Examples of Precision Agriculture application through the integration of various techniques are presented to show the potential benefits of site-specific management of natural resources. Further perspectives are also discussed to link Precision Agriculture to Conservation Agriculture for a mosaic agriculture.

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References

  • Basso, B., J.T. Ritchie, F.J. Pierce, R.P. Braga, J.W. Jones. 2001. Spatial validation of

    Google Scholar 

  • crop models for Precision Agriculture. In: Agricultural System 68 (2001) 97–112.

    Google Scholar 

  • Basso, B., Ritchie, J.T. and Gallant, J.C. (2000) Modeling Surface and Subsurface Water Flow in a Spatially Variable Terrain. In: Precision Agriculture. Proceeding of 5th International Conference on Precision Agriculture, Bloominghton, MN.USA.

    Google Scholar 

  • Batchelor, W.D., and Paz (1998) Process-Oriented Crop Growth Models as a Tool to Evaluate Spatial Yield Variability. In: Proceedings of the First International Conference on Geospatial Information in Agriculture and Forestry, Vol. 1. pp. I198–205.

    Google Scholar 

  • Boote, K.J., Jones, J.W., Hoogenboom, G., and Pickering, N.B. (1998) CROPGRO model for grain legumes. In: G.Y. Tsuji, G. Hoogenboom, and P.K. Thornton (eds.), Understanding Options for Agricultural Production, pp. 99–128. Kluwer Academic Publishers, Dordrecht, Netherlands.

    Chapter  Google Scholar 

  • Braga, R.P., Jones, J.W., and Basso, B. (1999) Weather Variability in Site-Specific Management Profitability: A Case Study. In: P.C. Robert, R.H. Rust, and W.E. Larson (eds.), Precision Agriculture, pp. 1853–1863. ASA-CSSA-SSSA, Madison, Wisconsin, USA.

    Google Scholar 

  • Cora, J.E., Pierce, F.J., Basso, B., Ritchie, J.T. (1999) Simulation of within-field variability of corn yield with Ceres-Maize model. In: P.C. Robert, R.H. Rust, and W.E. Larson (eds.), Precision Agriculture, pp. 1309–1319. ASA-CSSA-SSSA, Madison, Wisconsin, USA.

    Google Scholar 

  • Jones, J.W., and Ritchie, J.T. (1991) Crop growth models. In: G.J. Hoffman, T.A. Howell, and K.H. Soloman (eds.), Management of farm irrigation systems. ASAE, St. Joseph, MI.

    Google Scholar 

  • Moran, M.S., Inoue, Y., and Barnes, E.M. (1997) Opportunities and Limitations for Image-Based Remote Sensing in Precision Crop Management. Remote Sensing of the Environment Vol. 61: 319–346.

    Article  Google Scholar 

  • Mulla, D.J., and Schepers, J.S. (1997) Key Processess and Properties for Site-Specific Soil and Crop Management. In: F.J. Pierce and E.J. Sadler. (eds.), The State of Site Specific Management for Agriculture. ASA Misc. Publ., ASA, CSSA, and SSSA, Madison, WI.

    Google Scholar 

  • Pierce, F.J., and Nowak, P. (1999) Aspects of Precision Agriculture. Advances in Agronomy, 67: 1–86. Ritchie, J.T. ( 1985 ) A user-oriented model of the soil water balance in wheat. In: W. Day and R.K. Atkin

    Google Scholar 

  • Wheat growth and modeling, pp. 293–305. Series A: Life Sciences Vol. 86. Plenum Press, NY. Rosensweigh, C., and Hillel, D. (1998) Climate Change and the Global Harvest: Potential Impacts of the

    Google Scholar 

  • Greenhouse Effect on Agriculture. (Cary, N.C.: Oxford University Press).

    Google Scholar 

  • Sadler, E.J., and Russell G. (1997) Modeling Crop Yield for Site Specific Management. p. 69–80. In: F.J. Pierce and E.J. Sadler. (eds.), The State of Site Specific Management for Agriculture. ASA Misc. Publ., ASA, CSSA, and SSSA, Madison, WI.

    Google Scholar 

  • Sudduth, K.A., Drummond, S.T., Birrell, S.J., and Kitchen, N.R. (1996) Analysis of spatial factors influencing crop yield. In: P.C. Robert, R.H. Rust, and W.E. Larson (eds.), Proceedings of the Third International Conference on Precision Agriculture, pp. 129–140. ASA, CSSA, SSSA. Madison, WI.

    Google Scholar 

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© 2003 Springer Science+Business Media Dordrecht

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Basso, B. (2003). Perspectives of Precision Agriculture in Conservation Agriculture. In: García-Torres, L., Benites, J., Martínez-Vilela, A., Holgado-Cabrera, A. (eds) Conservation Agriculture. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1143-2_34

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  • DOI: https://doi.org/10.1007/978-94-017-1143-2_34

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6211-6

  • Online ISBN: 978-94-017-1143-2

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