Modeling Oil Content of Sesame (Sesamum indicum L.) Using Artificial Neural Network and Multiple Linear Regression Approaches

Sunflower seed yield estimation under the interaction of soil salinity and nitrogen application

(2016) Wenzhi Zeng et al.   FIELD CROPS RESEARCH

An artificial intelligence approach for modeling volume and fresh weight of callus – A case study of cumin (Cuminum cyminum L.)

(2016) Ali Mansouri et al.   JOURNAL OF THEORETICAL BIOLOGY

Association between Grain Size and Shape and Quality Traits, and Path Analysis of Thousand Grain Weight in Iranian Bread Wheat Landraces from Different Geographic Regions

(2016) Moslem ABDIPOUR et al.   Notulae Botanicae Horti Agrobotanici Cluj-Napoca

Photosynthetic and antioxidative upregulation in drought-stressed sesame (Sesamum indicum L.) subjected to foliar-applied salicylic acid

(2016) M. Yousefzadeh Najafabadi et al.   PHOTOSYNTHETICA

Seed yield prediction of sesame using artificial neural network

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

Genetic programming based quantitative structure–retention relationships for the prediction of Kovats retention indices

(2015) Purva Goel et al.   JOURNAL OF CHROMATOGRAPHY A

Improvement of yield, yield components and oil quality in sesame (Sesamum indicumL.) by N-fixing bacteria fertilizers and urea

(2015) Ehsan Shakeri et al.   Archives of Agronomy and Soil Science

Locus minimization in breed prediction using artificial neural network approach

(2014) M. A. Iquebal et al.   ANIMAL GENETICS

Association Analysis for Quality Traits in a Diverse Panel of Chinese Sesame (Sesamum indicumL.) Germplasm

(2013) Wenliang Wei et al.   Journal of Integrative Plant Biology

Application of multi-layer adaptive neuro-fuzzy inference system for estimation of greenhouse strawberry yield

(2013) Benyamin Khoshnevisan et al.   MEASUREMENT

Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR

(2013) Jingfeng Huang et al.   PLoS One

Extraction, fatty acid profile and antioxidant activity of sesame extract (Sesamum Indicum L.)

(2012) R. H. R. Carvalho et al.   BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING

Energy input–output analysis and application of artificial neural networks for predicting greenhouse basil production

(2011) Reza Pahlavan et al.   ENERGY

Comparative deep transcriptional profiling of four developing oilseeds

(2011) Manuel A. Troncoso-Ponce et al.   PLANT JOURNAL

Comparison between rice grain yield predictions using artificial neural networks and a very simple model under different levels of water and nitrogen application

(2011) R. Moosavizadeh-Mojarad et al.   Archives of Agronomy and Soil Science

Generating and maintaining diversity at the elite level in crop breedingThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”

(2010) Duane E. Falk   GENOME

Artificial neural networks approach in evapotranspiration modeling: a review

(2010) M. Kumar et al.   IRRIGATION SCIENCE

Artificial neural networks as an alternative to the traditional statistical methodology in plant research

(2009) J. Gago et al.   JOURNAL OF PLANT PHYSIOLOGY

Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors

(2008) A. Azadeh et al.   ENERGY CONVERSION AND MANAGEMENT

Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

(2008) R. Alvarez   EUROPEAN JOURNAL OF AGRONOMY