4.7 Article

Yield and Quality Prediction of Winter Rapeseed-Artificial Neural Network and Random Forest Models

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

An innovative random forest-based nonlinear ensemble paradigm of improved feature extraction and deep learning for carbon price forecasting

Jujie Wang et al.

Summary: The study proposes an innovative approach for carbon price forecasting using improved feature extraction and deep learning algorithms. By utilizing CEEMDAN, SE, LSTM, and RF, the model can predict carbon prices more accurately, enhance computing efficiency, and improve overall prediction performance.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Remote Sensing

UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity

Keshav D. Singh et al.

Summary: Identification of optimal pod maturity stage in Canola is essential for maximizing seed yield and quality. Hyperspectral imaging was used to estimate seed maturity, and a new Canola-Pod-Maturity Index (CPMI) showed strong correlations with pod and seed moisture across different genotypes. This new index has the potential to differentiate genotypes with varying maturity times.

CANADIAN JOURNAL OF REMOTE SENSING (2021)

Article Soil Science

A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data

Lei Zhang et al.

Summary: This study introduced a self-training semi-supervised learning method for soil prediction in digital soil mapping, and conducted an empirical study in Heilongjiang Province, China. Results showed that the SSL method outperformed the SL method in terms of prediction accuracy when applying machine learning models, especially with limited sample data.

GEODERMA (2021)

Article Agriculture, Multidisciplinary

Early prediction of the seed yield in winter oilseed rape based on the near-infrared reflectance of vegetation (NIRv)

Haiyan Fan et al.

Summary: The research demonstrates the high accuracy of predicting rapeseed yield using NIRv at different growth stages, particularly in the flowering stage. NIRv_DN shows the strongest correlation with yield prediction in the flowering stage.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

Article Food Science & Technology

Classification of canola seed varieties based on multi-feature analysis using computer vision approach

Salman Qadri et al.

Summary: This study analyzes the potential of the computer vision (CV) approach to classify eight canola varieties by employing different features and an artificial neural network (ANN) model. The best classification results were obtained with an accuracy ranging from 95% to 98% using a 10-fold stratified cross-validation method.

INTERNATIONAL JOURNAL OF FOOD PROPERTIES (2021)

Article Chemistry, Physical

Supercritical fluid extraction of raspberry seed oil: Experiments and modelling

Branimir Pavlic et al.

JOURNAL OF SUPERCRITICAL FLUIDS (2020)

Review Agriculture, Multidisciplinary

Crop yield prediction using machine learning: A systematic literature review

Thomas van Klompenburg et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Agricultural Engineering

QSRR Model for predicting retention indices of Satureja kitaibelii Wierzb. ex Heuff. essential oil composition

Milica Acimovic et al.

INDUSTRIAL CROPS AND PRODUCTS (2020)

Review Agronomy

Machine Learning for Plant Breeding and Biotechnology

Mohsen Niazian et al.

AGRICULTURE-BASEL (2020)

Article Plant Sciences

Crop Yield Prediction Using Deep Neural Networks

Saeed Khaki et al.

FRONTIERS IN PLANT SCIENCE (2019)

Article Multidisciplinary Sciences

Yield instability of winter oilseed rape modulated by early winter temperature

James K. M. Brown et al.

SCIENTIFIC REPORTS (2019)

Article Agronomy

Effect of Winter Canola Cultivar on Seed Yield, Oil, and Protein Content

Edmund T. Tetteh et al.

AGRONOMY JOURNAL (2019)

Article Chemistry, Applied

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

Moslem Abdipour et al.

JOURNAL OF THE AMERICAN OIL CHEMISTS SOCIETY (2018)

Article Agriculture, Multidisciplinary

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

Sami Khanal et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

Article Multidisciplinary Sciences

Diverging importance of drought stress for maize and winter wheat in Europe

Heidi Webber et al.

NATURE COMMUNICATIONS (2018)

Article Plant Sciences

Artificial neural network and multiple regression analysis models to predict essential oil content of ajowan (Carum copticum L.)

Mohsen Niazian et al.

JOURNAL OF APPLIED RESEARCH ON MEDICINAL AND AROMATIC PLANTS (2018)

Article Agriculture, Multidisciplinary

Water and Temperature Stresses Impact Canola (Brassica napus L.) Fatty Acid, Protein, and Yield over Nitrogen and Sulfur

W. Ashley Hammac et al.

JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY (2017)

Article Agriculture, Multidisciplinary

Nutrient content, fat yield and fatty acid profile of winter rapeseed (Brassica napus L.) grown under different agricultural production systems

Arkadiusz Stepien et al.

CHILEAN JOURNAL OF AGRICULTURAL RESEARCH (2017)

Article Multidisciplinary Sciences

Random Forests for Global and Regional Crop Yield Predictions

Jig Han Jeong et al.

PLOS ONE (2016)

Article Agronomy

Application of ANN in sketching spatial nonlinearity of unconfined aquifer in agricultural basin

Pallavi Banerjee Chattopadhyay et al.

AGRICULTURAL WATER MANAGEMENT (2014)

Article Construction & Building Technology

Evaluation of thermal conductivity for thermally insulated concretes

Tae Sup Yun et al.

ENERGY AND BUILDINGS (2013)

Article Engineering, Chemical

Artificial neural network model of pork meat cubes osmotic dehydration

Lato L. Pezo et al.

HEMIJSKA INDUSTRIJA (2013)

Article Multidisciplinary Sciences

Seed Structure Characteristics to Form Ultrahigh Oil Content in Rapeseed

Zhi-Yong Hu et al.

PLOS ONE (2013)

Article Agriculture, Multidisciplinary

Relationship Among Yield Components and Selection Criteria for Yield Improvement in Early Rapeseed (Brassica napus L.)

Lu Guang-yuan et al.

AGRICULTURAL SCIENCES IN CHINA (2011)

Review Agronomy

Impacts and adaptation of European crop production systems to climate change

J. E. Olesen et al.

EUROPEAN JOURNAL OF AGRONOMY (2011)

Review Management

Preference disaggregation and statistical learning for multicriteria decision support: A review

Michael Doumpos et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2011)

Article Engineering, Chemical

Optimization of hot air drying of olive leaves using response surface methodology

Zafer Erbay et al.

JOURNAL OF FOOD ENGINEERING (2009)

Review Biochemical Research Methods

Supervised pattern recognition in food analysis

Luis A. Berrueta et al.

JOURNAL OF CHROMATOGRAPHY A (2007)

Article Food Science & Technology

Prediction of mass transfer kinetics during osmotic dehydration of apples using neural networks

C. I. Ochoa-Martinez et al.

LWT-FOOD SCIENCE AND TECHNOLOGY (2007)

Article Agronomy

Canola response to high and moderately high temperature stresses during seed maturation

N. M. Aksouh-Harradj et al.

CANADIAN JOURNAL OF PLANT SCIENCE (2006)

Article Agriculture, Multidisciplinary

Artificial neural networks for corn and soybean yield prediction

M Kaul et al.

AGRICULTURAL SYSTEMS (2005)

Article Agriculture, Multidisciplinary

Determinants of oil concentration and seed yield in canola and Indian mustard in the lower rainfall areas of Western Australia

P Si et al.

AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH (2004)

Article Agriculture, Multidisciplinary

Influence of genotype and environment on oil and protein concentrations of canola (Brassica napus L.) grown across southern Australia

P Si et al.

AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH (2003)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Agriculture, Multidisciplinary

Environmental effects on seed composition of Victorian canola

FM Pritchard et al.

AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE (2000)