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Subjects corn Remove constraint corn: corn Subjects nonlinear models Remove constraint nonlinear models: nonlinear models Year 2005 Remove constraint 2005: 2005

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1. Artificial neural networks for corn and soybean yield prediction

Description:: Includes references
Author:: Kaul, M. , Hill, R.L. , Walthall, C.
Subject:: neural networks , crop yield , nonlinear models , regression analysis , corn , Zea mays , soybeans , Glycine max , soil fertility , Maryland
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2005

2. Path Analysis of Factors LimitingCrop Yield in Rice Paddy and Upland Corn Fields

Description:: Includes references
Author:: Chung, S.O. , Sudduth, K.A. , Chang, Y.C.
Subject:: crop yield , rice , Oryza sativa , corn , Zea mays , highlands , paddy soils , upland soils , grain yield , chlorophyll , soil chemical properties , topography , statistical analysis , nonlinear models , calcium , soil pH , magnesium , sodium , prediction , slope , precision agriculture , spatial variation , electrical conductivity , phosphorus pentoxide , silica , Missouri , South Korea
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2005