Application of Artificial Neural Networks for Yield Modeling of Winter Rapeseed Based on Combined Quantitative and Qualitative Data

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

(2019) Gniewko Niedbała   Journal of Integrative Agriculture

Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed

(2019) Gniewko Niedbała   Sustainability

Experimental Study of DI Diesel Engine Operational and Environmental Behavior Using Blends of City Diesel with Glycol Ethers and RME

(2019) Theodoros C. Zannis et al.   Energies

Comparative Transcriptome Analysis of Developing Seeds and Silique Wall Reveals Dynamic Transcription Networks for Effective Oil Production in Brassica napus L.

(2019) Muhammad Shahid et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Using artificial neural network in determining postharvest LIFE of kiwifruit

(2019) Ali Mohammadi Torkashvand et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Multicriteria Prediction and Simulation of Winter Wheat Yield Using Extended Qualitative and Quantitative Data Based on Artificial Neural Networks

(2019) Gniewko Niedbała et al.   Applied Sciences-Basel

Assessment of general and specific combining abilities in doubled haploid lines of rapeseed (Brassica napus L.)

(2019) Pegah M. Dezfouli et al.   INDUSTRIAL CROPS AND PRODUCTS

The critical period for yield and quality determination in canola ( Brassica napus L.)

(2018) John A. Kirkegaard et al.   FIELD CROPS RESEARCH

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

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

(2018) Moslem Abdipour et al.   JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY

Classification of Varieties of Grain Species by Artificial Neural Networks

(2018) Alper Taner et al.   Agronomy-Basel

Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)

(2018) Moslem Abdipour et al.   INDUSTRIAL CROPS AND PRODUCTS

Artificial Combined Model Based on Hybrid Nonlinear Neural Network Models and Statistics Linear Models—Research and Application for Wind Speed Forecasting

(2018) Yuewei Liu et al.   Sustainability

Simulating response of wheat to timing and depth of irrigation water in drip irrigation system using CERES-Wheat model

(2017) Eajaz Ahmad Dar et al.   FIELD CROPS RESEARCH

Prediction of kiwifruit firmness using fruit mineral nutrient concentration by artificial neural network (ANN) and multiple linear regressions (MLR)

(2017) Ali Mohammadi Torkashvand et al.   Journal of Integrative Agriculture

Effect of Sowing Method and N Application on Seed Yield and N Use Efficiency of Winter Oilseed Rape

(2017) Klaus Sieling et al.   Agronomy-Basel

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

(2016) Khalid A. Al-Gaadi et al.   PLoS One

Stability of biodiesel – A review

(2016) Rajesh Kumar Saluja et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A phenological model of winter oilseed rape according to the BBCH scale

(2016) Ulf B�ttcher et al.   Crop & Pasture Science

Seed yield prediction of sesame using artificial neural network

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

Usefulness of MODIS data for assessment of the growth and development of winter oilseed rape

(2014) Krzysztof Bartoszek   Zemdirbyste-Agriculture