Using of Molecular Markers in Prediction of Wheat (Triticum aestivum L.) Hybrid Grain Yield Based on Artificial Intelligence Methods and Multivariate Statistics

Simple model based on artificial neural network for early prediction and simulation winter rapeseed yield

(2019) Gniewko Niedbała   Journal of Integrative Agriculture

NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface

(2019) Liu Zhang et al.   SENSORS

Modeling the seed yield of Ajowan ( Trachyspermum ammi L.) using artificial neural network and multiple linear regression models

(2018) Mohsen Niazian et al.   INDUSTRIAL CROPS AND PRODUCTS

Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding

(2018) Jared Crain et al.   Plant Genome

Multi-wheat-model ensemble responses to interannual climate variability

(2016) Alex C. Ruane et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Genomic Prediction of Testcross Performance in Canola (Brassica napus)

(2016) Habib U. Jan et al.   PLoS One

Genomic Prediction of Single Crosses in the Early Stages of a Maize Hybrid Breeding Pipeline

(2016) D. C. Kadam et al.   G3-Genes Genomes Genetics

Genomic Prediction of Barley Hybrid Performance

(2016) Norman Philipp et al.   Plant Genome

Seed yield prediction of sesame using artificial neural network

(2015) Samad Emamgholizadeh et al.   EUROPEAN JOURNAL OF AGRONOMY

Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization

(2015) T. J. SALO et al.   JOURNAL OF AGRICULTURAL SCIENCE

Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.)

(2015) Mohammad Reza Naroui Rad et al.   SCIENTIA HORTICULTURAE

Comparing the performance of 11 crop simulation models in predicting yield response to nitrogen fertilization

(2015) T. J. SALO et al.   JOURNAL OF AGRICULTURAL SCIENCE

Genome Properties and Prospects of Genomic Prediction of Hybrid Performance in a Breeding Program of Maize

(2014) Frank Technow et al.   GENETICS

Phenotyping and other breeding approaches for a New Green Revolution

(2014) Jose Luis Araus et al.   Journal of Integrative Plant Biology

Predicting hybrid performance in rice using genomic best linear unbiased prediction

(2014) S. Xu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Predictive ability of machine learning methods for massive crop yield prediction

(2014) Alberto Gonzalez-Sanchez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Genome-based prediction of maize hybrid performance across genetic groups, testers, locations, and years

(2014) Theresa Albrecht et al.   THEORETICAL AND APPLIED GENETICS

Yield Trends Are Insufficient to Double Global Crop Production by 2050

(2013) Deepak K. Ray et al.   PLoS One

Best linear unbiased prediction of triticale hybrid performance

(2012) Manje Gowda et al.   EUPHYTICA

Achieving yield gains in wheat

(2012) MATTHEW REYNOLDS et al.   PLANT CELL AND ENVIRONMENT

Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India

(2011) A. Singh et al.   AGRICULTURAL WATER MANAGEMENT

Global food demand and the sustainable intensification of agriculture

(2011) D. Tilman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA