Prediction of Rice Yield in East China Based on Climate and Agronomic Traits Data Using Artificial Neural Networks and Partial Least Squares Regression

Modeling of eucalyptus productivity with artificial neural networks

(2020) Eliane Cristina Sampaio de Freitas et al.   INDUSTRIAL CROPS AND PRODUCTS

Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan

(2020) Nguyen-Thanh Son et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

(2020) Sarita Gajbhiye Meshram et al.   WATER RESOURCES MANAGEMENT

Integrated phenology and climate in rice yields prediction using machine learning methods

(2020) Yahui Guo et al.   ECOLOGICAL INDICATORS

Artificial neural network modeling of biosorption process using agricultural wastes in a rotating packed bed

(2018) Zhi-Wei Liu et al.   APPLIED THERMAL ENGINEERING

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

Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India

(2018) Bappa Das et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

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

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

(2018) Binh Thai Pham et al.   CATENA

Prediction of kharif rice yield at Kharagpur using disaggregated extended range rainfall forecasts

(2017) B. S. Dhekale et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Modelling of adsorption in rotating packed bed using artificial neural networks (ANN)

(2016) Weiwei Li et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

WOFOST-GTC: A new model for the simulation of winter rapeseed production and oil quality

(2016) C. Gilardelli et al.   FIELD CROPS RESEARCH

Accuracy Analysis Mechanism for Agriculture Data Using the Ensemble Neural Network Method

(2016) Hsu-Yang Kung et al.   Sustainability

Seed yield prediction of sesame using artificial neural network

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

A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation

(2014) N.T. Son et al.   AGRICULTURAL AND FOREST METEOROLOGY

Mass transfer performance of CO 2 capture in rotating packed bed: Dimensionless modeling and intelligent prediction

(2014) Bingtao Zhao et al.   APPLIED ENERGY

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

(2011) M.S. Mkhabela et al.   AGRICULTURAL AND FOREST METEOROLOGY

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Correlation between potato yield and MODIS‐derived vegetation indices

(2009) S. K. Bala et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Prediction of nitrate release from polymer-coated fertilizers using an artificial neural network model

(2008) C. Du et al.   BIOSYSTEMS ENGINEERING

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

(2008) Hongliang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING