메뉴 건너뛰기




Volumn 83, Issue 1, 2002, Pages 31-45

Neural network prediction of maize yield using alternative data coding algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ZEA MAYS;

EID: 0036749857     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1006/bioe.2002.0098     Document Type: Article
Times cited : (34)

References (39)
  • 4
    • 0010963908 scopus 로고    scopus 로고
    • Fundamentals of neural networks
    • Peart R M; Curry R B, eds, Chapter 16. Marcel Dekker, Inc., New York
    • Batchelor W D (1998). Fundamentals of neural networks. In: Agricultural Systems Modeling and Simulation (Peart R M; Curry R B, eds), Chapter 16, pp. 597-628. Marcel Dekker, Inc., New York
    • (1998) Agricultural Systems Modeling and Simulation , pp. 597-628
    • Batchelor, W.D.1
  • 6
    • 0003702591 scopus 로고
    • Miller Freeman Publications, San Francisco, CA, USA
    • Caudill M (1990). Neural Networks Primer. Miller Freeman Publications, San Francisco, CA, USA
    • (1990) Neural Networks Primer
    • Caudill, M.1
  • 7
    • 0002067696 scopus 로고
    • The agroclimatology of a moisture stress index and average corn (Zea mays L.) yields in Tippecanoe County, Indiana, 1961-1991
    • Dale R F; Daniels J A (1992). The agroclimatology of a moisture stress index and average corn (Zea mays L.) yields in Tippecanoe County, Indiana, 1961-1991. Proceedings of the Indiana Academy of Science, 101, 189-200
    • (1992) Proceedings of the Indiana Academy of Science , vol.101 , pp. 189-200
    • Dale, R.F.1    Daniels, J.A.2
  • 8
    • 0028429963 scopus 로고
    • Neural network models for predicting flowering and physiological maturity of soybean
    • Elizondo D A; McClendon R W; Hoogenboom G (1994). Neural network models for predicting flowering and physiological maturity of soybean. Transactions of the ASAE, 37, 981-988
    • (1994) Transactions of the ASAE , vol.37 , pp. 981-988
    • Elizondo, D.A.1    McClendon, R.W.2    Hoogenboom, G.3
  • 9
    • 0010968658 scopus 로고    scopus 로고
    • (March), Purdue University, West Lafayette, IN, USA
    • Gann R W; Liles R R (1998). Indiana Agriculture Report, Vol. 18 No. Sp-4 (March), Purdue University, West Lafayette, IN, USA
    • (1998) Indiana Agriculture Report , vol.18 , Issue.SP-4
    • Gann, R.W.1    Liles, R.R.2
  • 11
    • 0034104669 scopus 로고    scopus 로고
    • Application of neural network and time series techniques in wool growth modeling
    • Hong F; Tan J; McCall D G (2000). Application of neural network and time series techniques in wool growth modeling. Transactions of the ASAE, 43(1), 139-144
    • (2000) Transactions of the ASAE , vol.43 , Issue.1 , pp. 139-144
    • Hong, F.1    Tan, J.2    McCall, D.G.3
  • 13
    • 0010967758 scopus 로고
    • Annual Crop Summary 1970
    • Indiana Crop and Livestock Reporting Service, US Department of Agriculture and Purdue University Experiment Station, West Lafayette, IN, USA
    • ICLRS (1971). Annual crop summary 1970. Indiana Crops and Livestock No. 548 (Jun). Indiana Crop and Livestock Reporting Service, US Department of Agriculture and Purdue University Experiment Station, West Lafayette, IN, USA
    • (1971) Indiana Crops and Livestock , vol.548 , Issue.JUN
  • 14
    • 85031369132 scopus 로고
    • Annual Crop and Livestock Summary 19__. (71-85)
    • 562, A75-1, A76-1, A77-1, A78-1, A79-1, A80-1, A81-1, A82-1, A83-1, A84-1, A85-1, A86-1. Indiana Crop and Livestock Reporting Service, West Lafayette, IN, USA
    • ICLRS (1972-1986). Annual crop and livestock summary 19__. (71-85) Indiana Crop and Livestock Statistics Nos. 561-562, 573, A74-3, A75-1, A76-1, A77-1, A78-1, A79-1, A80-1, A81-1, A82-1, A83-1, A84-1, A85-1, A86-1. Indiana Crop and Livestock Reporting Service, West Lafayette, IN, USA
    • (1972) Indiana Crop and Livestock Statistics , vol.561-573 A74-3
  • 15
    • 0010968361 scopus 로고    scopus 로고
    • Regression analysis of yield monitor data and its use in fine tuning crop decisions
    • July 19-22, 1998, St. Paul, Minnesota, ASA-CSSA-SSSA, Madison, WI, USA
    • Kessler M C; Lowenberg-DeBoer J (1998). Regression analysis of yield monitor data and its use in fine tuning crop decisions. In: Precision Agriculture: Proceedings of the 4th International Conference July 19-22, 1998, St. Paul, Minnesota, pp. 821-828, ASA-CSSA-SSSA, Madison, WI, USA
    • (1998) Precision Agriculture: Proceedings of the 4th International Conference , pp. 821-828
    • Kessler, M.C.1    Lowenberg-DeBoer, J.2
  • 17
    • 0028428365 scopus 로고
    • Application of the CMAC input encoding scheme in the N-tuple approximation network
    • Kolcz A; Allinson N M (1994). Application of the CMAC input encoding scheme in the N-tuple approximation network. IEE Proceedings: Computers and Digital Techniques, 141(3), 177-183
    • (1994) IEE Proceedings: Computers and Digital Techniques , vol.141 , Issue.3 , pp. 177-183
    • Kolcz, A.1    Allinson, N.M.2
  • 18
    • 85062153117 scopus 로고    scopus 로고
    • Neural network for setting target corn yields
    • Paper No. 993040. ASAE, St. Joseph, MI, USA
    • Liu J; Goering C E (1999). Neural network for setting target corn yields. Presented at the 18-21 July 1999 ASAE Annual International Meeting, Paper No. 993040. ASAE, St. Joseph, MI, USA
    • (1999) 18-21 July 1999 ASAE Annual International Meeting
    • Liu, J.1    Goering, C.E.2
  • 19
    • 0035187124 scopus 로고    scopus 로고
    • A neural network for setting target corn yields
    • Liu J; Goering C E; Tian L (2001). A neural network for setting target corn yields. Transactions of the ASAE, 44(3), 705-713
    • (2001) Transactions of the ASAE , vol.44 , Issue.3 , pp. 705-713
    • Liu, J.1    Goering, C.E.2    Tian, L.3
  • 22
    • 0003896719 scopus 로고
    • Soil Conservation Service, U.S. Department of Agriculture, Washington, DC
    • Neely T (1987). Soil Survey of Randolph County, Indiana. Soil Conservation Service, U.S. Department of Agriculture, Washington, DC
    • (1987) Soil Survey of Randolph County Indiana
    • Neely, T.1
  • 23
    • 4244141335 scopus 로고
    • Historic crop and livestock summary 1969-1974
    • (Jul), Indiana Crop and Livestock Reporting Service, West Lafayette, IN, USA
    • Park E L (1978). Historic crop and livestock summary 1969-1974. Indiana Crop and Livestock Statistics No. H78-1 (Jul), Indiana Crop and Livestock Reporting Service, West Lafayette, IN, USA
    • (1978) Indiana Crop and Livestock Statistics , vol.H78-1
    • Park, E.L.1
  • 26
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • McClelland J L; Rumelhart D E; the PDP Research Group, eds: Foundations. The MIT Press, Cambridge, MA, USA
    • Rumelhart D E; Hinton G E; Williams R J (1986). Learning internal representations by error propagation. In: Parallel Distributed Processing: Explorations in the Microstructure of Cognition (McClelland J L; Rumelhart D E; the PDP Research Group, eds), Vol. 1: Foundations, pp 318-362. The MIT Press, Cambridge, MA, USA
    • (1986) Parallel Distributed Processing: Explorations in the Microstructure of Cognition , vol.1 , pp. 318-362
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 27
    • 0029170425 scopus 로고
    • Corn response to long-term nitrogen and phosphorus fertilization
    • Schlegel A J; Havlin J L (1995). Corn response to long-term nitrogen and phosphorus fertilization. Journal of Production Agriculture, 8(2), 181-185
    • (1995) Journal of Production Agriculture , vol.8 , Issue.2 , pp. 181-185
    • Schlegel, A.J.1    Havlin, J.L.2
  • 30
    • 0032417419 scopus 로고    scopus 로고
    • Agronomics of corn production under different crop rotations in New York
    • Singer J W; Cox W J (1998). Agronomics of corn production under different crop rotations in New York. Journal of Production Agriculture, 11(4), 462-468
    • (1998) Journal of Production Agriculture , vol.11 , Issue.4 , pp. 462-468
    • Singer, J.W.1    Cox, W.J.2
  • 31
    • 0010962498 scopus 로고    scopus 로고
    • Comments on 'design of supervised classifiers using Boolean neural networks'
    • Smith G (1999). Comments on 'Design of supervised classifiers using Boolean neural networks'. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(9), 956
    • (1999) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.21 , Issue.9 , pp. 956
    • Smith, G.1
  • 35
    • 0002358501 scopus 로고    scopus 로고
    • Analysis of spatial factors influencing crop yield
    • June 23-26, 1996, Minneapolis, MN, (Robert P C; Rust R H; Larson W E, eds). ASA/CSSA/ SSSA, St. Paul, MN, USA
    • Sudduth K A; Drummond S T; Birrell S J; Kitchen N R (1996). Analysis of spatial factors influencing crop yield. In: Precision Agriculture: Proceedings of the 3rd International Conference, June 23-26, 1996, Minneapolis, MN, (Robert P C; Rust R H; Larson W E, eds), pp 129-139. ASA/CSSA/ SSSA, St. Paul, MN, USA
    • (1996) Precision Agriculture: Proceedings of the 3rd International Conference , pp. 23-26
    • Sudduth, K.A.1    Drummond, S.T.2    Birrell, S.J.3    Kitchen, N.R.4
  • 36
    • 0010967762 scopus 로고    scopus 로고
    • Data encoding and re-coding
    • (Swingler K, ed), Chapter 2. Academic Press, New York
    • Swingler K (1996). Data encoding and re-coding. In: Applying Neural Networks: A Practical Guide, (Swingler K, ed), Chapter 2, pp 23-50. Academic Press, New York.
    • (1996) Applying Neural Networks: A Practical Guide , pp. 23-50
    • Swingler, K.1
  • 37
    • 0011048158 scopus 로고
    • An application of neural networks: Predicting corn yields
    • 28-31 January 1992, Orlando, FL (Watson D G; Zazueta F S; Del Botcher A B, eds). ASAE Publication 1-92. ASAE, St. Joseph, MI, USA
    • Uhrig J W; Engel B A; Baker W L (1992). An application of neural networks: predicting corn yields. In Computers in Agricultural Extension Programs: Proceedings of the 4th International Conference, 28-31 January 1992, Orlando, FL (Watson D G; Zazueta F S; Del Botcher A B, eds), pp 348-353. ASAE Publication 1-92. ASAE, St. Joseph, MI, USA
    • (1992) Computers in Agricultural Extension Programs: Proceedings of the 4th International Conference , pp. 348-353
    • Uhrig, J.W.1    Engel, B.A.2    Baker, W.L.3
  • 38
    • 85031390818 scopus 로고
    • Annual crop summary 19 - . (25-69)
    • 15, 27, 39, 51, 63, 75, 87, 99, 111, 123, 135, 147, 159, 171, 183, 195, 207, 219, 231, 243, 255, 267, 279, 291, 303, 315, 327, 339, 351, 363, 375, 387, 399, 412, 424, 436, 448, 460, 474, 486, 499, 511, 524. U.S. Department of Agriculture and Purdue University Experiment Station, West Lafayette, IN, USA
    • USDA (1925-1969). Annual crop summary 19 - . (25-69) Indiana Crops and Livestock Nos. 3, 15, 27, 39, 51, 63, 75, 87, 99, 111, 123, 135, 147, 159, 171, 183, 195, 207, 219, 231, 243, 255, 267, 279, 291, 303, 315, 327, 339, 351, 363, 375, 387, 399, 412, 424, 436, 448, 460, 474, 486, 499, 511, 524, 536. U.S. Department of Agriculture and Purdue University Experiment Station, West Lafayette, IN, USA
    • (1925) Indiana Crops and Livestock , vol.536 , Issue.3
  • 39
    • 0031147735 scopus 로고    scopus 로고
    • Application of artificial neural networks for simulation of soil temperature
    • Yang C-C; Prasher S O; Mehuys G R; Patni N K (1997). Application of artificial neural networks for simulation of soil temperature. Transactions of the ASAE, 40(3), 649-656
    • (1997) Transactions of the ASAE , vol.40 , Issue.3 , pp. 649-656
    • Yang, C.-C.1    Prasher, S.O.2    Mehuys, G.R.3    Patni, N.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.