Wheat yield prediction using machine learning and advanced sensing techniques

[1]  Teuvo Kohonen,et al.  Self-organization and associative memory: 3rd edition , 1989 .

[2]  F. Anctil,et al.  A neural network experiment on the site-specific simulation of potato tuber growth in Eastern Canada , 2010 .

[3]  Alfred Schultz,et al.  Neural networks in agroecological modelling - stylish application or helpful tool? , 2000 .

[4]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .

[5]  K. Sahrawat,et al.  Relationships of barley biomass and grain yields to soil properties within a field in the arid region: Use of factor analysis , 2009 .

[6]  Abdul Mounem Mouazen,et al.  Site-specific land management of cereal crops based on management zone delineation by proximal soil sensing , 2013 .

[7]  R. V. Rossel,et al.  Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties , 2006 .

[8]  Jing Liu,et al.  Neural networks for setting target corn yields , 2000 .

[9]  A. Condon,et al.  Yield response of restricted-tillering wheat to transient waterlogging on duplex soils , 2003 .

[10]  Federico Marini,et al.  Artificial neural networks in foodstuff analyses: Trends and perspectives A review. , 2009, Analytica chimica acta.

[11]  Johann Gasteiger,et al.  Neural networks with counter-propagation learning strategy used for modelling , 1995 .

[12]  L. Buydens,et al.  Supervised Kohonen networks for classification problems , 2006 .

[13]  K. Sahrawat,et al.  Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran , 2011 .

[14]  R. Q. Cannell,et al.  Effects of waterlogging at different stages of development on the growth and yield of winter wheat , 1980 .

[15]  A. Mouazen,et al.  Non-biased prediction of soil organic carbon and total nitrogen with vis–NIR spectroscopy, as affected by soil moisture content and texture , 2013 .

[16]  Yuxin Miao,et al.  Identifying important factors influencing corn yield and grain quality variability using artificial neural networks , 2006, Precision Agriculture.

[17]  A. Jalalian,et al.  Soil shear strength prediction using intelligent systems: artificial neural networks and an adaptive neuro-fuzzy inference system , 2012 .

[18]  P. C. Robert,et al.  Variability of corn/soybean yield and soil/landscape properties across a southwestern Minnesota landscape , 1999 .

[19]  A. Mouazen,et al.  On-line measurement of soil properties without direct spectral response in near infrared spectral range , 2013 .

[20]  H. Ramon,et al.  On-line measurement of some selected soil properties using a VIS–NIR sensor , 2007 .

[21]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[22]  Kenneth A. Sudduth,et al.  STATISTICAL AND NEURAL METHODS FOR SITE–SPECIFIC YIELD PREDICTION , 2003 .

[23]  Ayse Irmak,et al.  Artificial Neural Network Model as a Data Analysis Tool in Precision Farming , 2006 .

[24]  S. Prasher,et al.  Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data , 2005 .

[25]  A. Kravchenko,et al.  Correlation of Corn and Soybean Grain Yield with Topography and Soil Properties , 2000 .

[26]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[27]  A. Jalalian,et al.  Predicting rainfed wheat quality and quantity by artificial neural network using terrain and soil characteristics , 2010 .

[28]  M. Meirvenne,et al.  Optimum three-point linkage set up for improving the quality of soil spectra and the accuracy of soil phosphorus measured using an on-line visible and near infrared sensor , 2009 .

[29]  Abdul Mounem Mouazen,et al.  Multiple on-line soil sensors and data fusion approach for delineation of water holding capacity zones for site specific irrigation , 2014 .

[30]  Theofanis Gemtos,et al.  Yield prediction in apples using Fuzzy Cognitive Map learning approach , 2013 .

[31]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[32]  Mohammad Reza Mosaddeghi,et al.  ANN‐based pedotransfer and soil spatial prediction functions for predicting Atterberg consistency limits and indices from easily available properties at the watershed scale in western Iran , 2015 .

[33]  Jaharah A Ghani,et al.  A Back Propagation Neural Networks for Grading Jatropha curcas Fruits Maturity , 2010 .