Books on the topic 'Yield predictions'
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J, Zarnoch Stanley, and Southern Forest Experiment Station (New Orleans, La.), eds. Growth and yield predictions for thinned and unthinned slash pine plantations on cutover sites in the west Gulf Region. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1992.
Find full textInternational, Symposium on Stocks Assessment and Yield Prediction (1985 Quetico Centre Ontario). International Symposium on Stocks Assessment and Yield Prediction. Ottawa: Department of Fisheries and Oceans, 1987.
Find full textB, Yang, Outcalt Kenneth W, and United States. Forest Service. Southern Research Station, eds. Stand-yield prediction for managed Ocala sand pine. [Asheville, NC]: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textDennington, Roger W. New loblolly pine growth and yield prediction system. Atlanta, Ga: U.S. Dept. of Agriculture, Forest Service, Cooperative Forestry, 1988.
Find full textB, Yang, Outcalt Kenneth W, and United States. Forest Service. Southern Research Station, eds. Stand-yield prediction for managed Ocala sand pine. [Asheville, NC]: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textB, Yang, Outcalt Kenneth W, and United States. Forest Service. Southern Research Station., eds. Stand-yield prediction for managed Ocala sand pine. [Asheville, NC]: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textRockwood, D. L. Stand-yield prediction for managed Ocala sand pine. Ashville, NC: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textRockwood, D. L. Stand-yield prediction for managed Ocala sand pine. Ashville, NC: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textInternational Symposium on Stocks Assessment and Yield Prediction (1985 Quetico Centre, Ont.). International Symposium on Stocks Assessment and Yield Prediction [proceedings]. Ottawa: Fisheries and Oceans, Information and Publications Branch, 1987.
Find full textJosé de Jesús Pineda de Gyvez. IC defect-sensitivity: Theory and computational models for yield prediction. [s.l.]: [s.n.], 1991.
Find full textHoff, Kristen G. Limitations of lumber-yield nomograms for predicting lumber requirements. Newton Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textHoff, Kristen G. Limitations of lumber-yield nomograms for predicting lumber requirements. Newton Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textHoff, Kristen G. Limitations of lumber-yield nomograms for predicting lumber requirements. Newton Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textUnited States. Forest Service. Northeastern Research Station, ed. Limitations of lumber-yield nomograms for predicting lumber requirements. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textUnited States. Forest Service. Northeastern Research Station, ed. Limitations of lumber-yield nomograms for predicting lumber requirements. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textVeale, Stuart R. Bond yield analysis: A guide to predicting bond returns. New York, NY: New York Institute of Finance, 1988.
Find full textBaldwin, V. C. Loblolly pine growth and yield prediction for managed west Gulf plantations. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1987.
Find full textLogan, R. L. Prediction of sediment yield from tributary basins along Huelsdonk ridge, Hoh River, Washington. [Olumpia, Wash.]: Washington State Dept. of Natural Resources, 1991.
Find full textBrantley, Steven R. The Alaska Volcano Observatory: Expanded monitoring of volcanoes yields results. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 2004.
Find full textKarvonen, Tuomo. A model for predicting the effect of drainage on soil moisture, soil temperature and crop yield. Otaniemi, Finland: Helsinki University of Technology, Laboratory of Hydrology and Water Resources Engineering, 1988.
Find full textBlaszczynski, Jacek S. Watershed soil erosion, runoff, and sediment yield prediction using geographic information systems: A manual of GIS procedures. Denver, Colo: U.S. Dept. of the Interior, Bureau of Land Management, BLM Service Center, 1994.
Find full textP, Dagnall S., Harwell Laboratory (Oxfordshire, England). Energy Technology Support Unit., and Macaulay Land Use Research Institute., eds. Predicting yield of short rotation coppice: Proceedings of a workshop : 27 February 1997, ETSU, Harwell, UK. [Harwell?]: ETSU, 1997.
Find full textB, Ward Keith, Baldwin V. C, and Southern Forest Experiment Station (New Orleans, La.), eds. COMPUTEM̲ERCHLOB: A growth and yield prediction system with a merchandising optimizer for planted loblolly pine in the West Gulf region. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1990.
Find full textB, Ward Keith, Baldwin V. C, and Southern Forest Experiment Station (New Orleans, La.), eds. COMPUTEunderMERCHLOB: A growth and yield prediction system with a merchandising optimizer for planted loblolly pine in the West Gulf region. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1990.
Find full textShrimp Yield Prediction Workshop (1983 Galveston, Tex.). Proceedings of the Shrimp Yield Prediction Workshop: November 16-17, 1983, Texas A&M University at Galveston, Mitchell Campus, Galveston, Texas. College Station, Tex: Texas A&M Sea Grant College Program, 1986.
Find full textB, Ward Keith, Baldwin V. C, and Southern Forest Experiment Station (New Orleans, La.), eds. COMPUTE MERCHLOB: A growth and yield prediction system with a merchandising optimizer for planted loblolly pine in the West Gulf region. New Orleans, La: U.S. Dept. of Agriculture, Forest Service, Southern Forest Experiment Station, 1990.
Find full text1936-, Chang S. J., ed. VB merch-lob: A growth-and-yield prediction system with a merchandising optimizer for planted loblolly pine in the West Gulf region. Asheville, N.C: United States Dept. of Agriculture, Forest Service, Southern Research Station, 2005.
Find full text1936-, Chang S. J., ed. VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the West Gulf region. Asheville, N.C: United States Dept. of Agriculture, Forest Service, Southern Research Station, 2005.
Find full textNixon, Chappell Henry, Maguire Douglas A, and University of Washington. College of Forest Resources., eds. Predicting forest growth and yield: Current issues, future prospects : papers presented at a seminar series and workshop held at the University of Washington, January-March 1987. Seattle, Wash: College of Forest Resources, University of Washington, 1987.
Find full textSingh, Teja. Forest yield predictions: Risk modeling and simulation : Final report. Forestry Canada, Northern Forestry Centre, 1990.
Find full textBirch, Jonathan. The Rule under Attack. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198733058.003.0003.
Full textBaker, Victor R. Interdisciplinarity and the Earth Sciences. Edited by Robert Frodeman. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198733522.013.8.
Full textStand-yield prediction for managed Ocala sand pine. [Asheville, NC]: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 1997.
Find full textPernet, Bruno, ed. Larval Feeding: Mechanisms, Rates, and Performance in Nature. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786962.003.0007.
Full textYan, Veronica X., and Daphna Oyserman. The world as we see it. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789710.003.0011.
Full textKautish, Sandeep, Vishal Goyal, N. Pradeep, Sonia Abdellatif, and C. R. Nirmala. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global, 2019.
Find full textKautish, Sandeep, Vishal Goyal, N. Pradeep, Sonia Abdellatif, and C. R. Nirmala. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global, 2019.
Find full textKautish, Sandeep, Vishal Goyal, N. Pradeep, Sonia Abdellatif, and C. R. Nirmala. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global, 2019.
Find full textPradeep, N. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global, 2019.
Find full textKautish, Sandeep, Vishal Goyal, N. Pradeep, Sonia Abdellatif, and C. R. Nirmala. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction. IGI Global, 2019.
Find full textLimitations of lumber-yield nomograms for predicting lumber requirements. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northeastern Research Station, 2000.
Find full textNational Aeronautics and Space Administration (NASA) Staff. Strip-Yield Model for Predicting the Growth of Part-Through Cracks under Cyclic Loading. Independently Published, 2018.
Find full textBoken, Vijendra K., Arthur P. Cracknell, and Ronald L. Heathcote. Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.001.0001.
Full textKagan, Jerome. Five Constraints on Predicting Behavior. The MIT Press, 2018. http://dx.doi.org/10.7551/mitpress/9780262036528.001.0001.
Full textJappelli, Tullio, and Luigi Pistaferri. The Age Profile of Consumption and Wealth. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199383146.003.0002.
Full textKrupenye, Christopher, Evan L. MacLean, and Brian Hare. Does the bonobo have a (chimpanzee-like) theory of mind? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198728511.003.0006.
Full textMarshall, Brian E. Predicting Ecology and Fish Yields in African Reservoirs from Preimpoundment Physico-Chemical (C I F a Technical Paper). Food & Agriculture Org, 1985.
Find full textFerraro, Paul J. Are payments for ecosystem services benefiting ecosystems and people? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198808978.003.0025.
Full textWittman, David M. General Relativity and the Schwarzschild Metric. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199658633.003.0018.
Full textClarke, Andrew. The Metabolic Theory of Ecology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199551668.003.0012.
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