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

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

Prospects of Forage Production in Northern Regions under Climate and Land-Use Changes: A Case-Study of a Dairy Farm in Newfoundland, Canada

(2019) Marcos Cordeiro et al.   Agronomy-Basel

Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages

(2019) Yi Ma et al.   Applied Sciences-Basel

Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques

(2019) Ephrem Habyarimana et al.   Agronomy-Basel

Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015

(2018) M. van der Velde et al.   AGRICULTURAL SYSTEMS

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

Low Redundancy Feature Selection of Short Term Solar Irradiance Prediction Using Conditional Mutual Information and Gauss Process Regression

(2018) Nantian Huang et al.   Sustainability

Derivative Parameters of Hyperspectral NDVI and Its Application in the Inversion of Rapeseed Leaf Area Index

(2018) Chunrong Qiu et al.   Applied Sciences-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

Application of linguistic summarization methods in time series forecasting

(2018) Katarzyna Kaczmarek-Majer et al.   INFORMATION SCIENCES

Assessing uncertainty and complexity in regional-scale crop model simulations

(2017) Julian Ramirez-Villegas et al.   EUROPEAN JOURNAL OF AGRONOMY

Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields

(2017) Henrique Boriolo Dias et al.   FIELD CROPS RESEARCH

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

Multi-wheat-model ensemble responses to interannual climate variability

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

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

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

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

Within-season yield prediction with different nitrogen inputs under rain-fed condition using CERES-Wheat model in the northwest of China

(2015) Zhengpeng Li et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

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

Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images

(2014) Laigang Wang et al.   FIELD CROPS RESEARCH

Predictive ability of machine learning methods for massive crop yield prediction

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

Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction

(2014) Alberto Gonzalez-Sanchez et al.   TheScientificWorldJOURNAL

Climate change effects on agriculture: Economic responses to biophysical shocks

(2013) Gerald C. Nelson et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

Yield and Price Forecasting for Stochastic Crop Decision Planning

(2010) Nantachai Kantanantha et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS