The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

Wheat crop yield prediction using new activation functions in neural network

(2020) Shital H. Bhojani et al.   NEURAL COMPUTING & APPLICATIONS

Yield prediction with machine learning algorithms and satellite images

(2020) Alireza Sharifi   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Forecasting Corn Yield With Machine Learning Ensembles

(2020) Mohsen Shahhosseini et al.   Frontiers in Plant Science

Crop yield prediction using machine learning: A systematic literature review

(2020) Thomas van Klompenburg et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine Learning for Plant Breeding and Biotechnology

(2020) Mohsen Niazian et al.   Agriculture-Basel

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

(2019) Gniewko Niedbała   Journal of Integrative Agriculture

Early potato cultivation using synthetic and biodegradable covers

(2019) Marek Kołodziejczyk et al.   Plant, Soil and Environment

Prediction of organic potato yield using tillage systems and soil properties by artificial neural network (ANN) and multiple linear regressions (MLR)

(2019) Khaoula Abrougui et al.   SOIL & TILLAGE RESEARCH

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 Stability and Adaptation Patterns of White Sugar Yield from Sugar Beet Cultivars in Temperate Climate Environments

(2019) Marcin Studnicki et al.   Agronomy-Basel

Crop yield prediction with deep convolutional neural networks

(2019) Petteri Nevavuori et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2019) Gniewko Niedbała et al.   Agronomy-Basel

Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum ammi (L.) Sprague)

(2018) Mohsen Niazian et al.   IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT

Modeling soil organic carbon and carbon dioxide emissions in different tillage systems supported by precision agriculture technologies under current climatic conditions

(2018) Donato Cillis et al.   SOIL & TILLAGE RESEARCH

Effect of nitrogen fertilization and microbial preparations on potato yielding

(2018) M. Kołodziejczyk   PLANT SOIL AND ENVIRONMENT

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

Performance of the SUBSTOR-potato model across contrasting growing conditions

(2017) Rubí Raymundo et al.   FIELD CROPS RESEARCH

Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea

(2017) Jinglun Peng et al.   GRASSLAND SCIENCE

Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea

(2017) Jinglun Peng et al.   GRASSLAND SCIENCE

The methods of extracting the contribution of variables in artificial neural network models – Comparison of inherent instability

(2016) Katarzyna Pentoś   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

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

Forecasting Yield and Tuber Size of Processing Potatoes in South Africa Using the LINTUL-Potato-DSS Model

(2016) A. T. B. Machakaire et al.   POTATO RESEARCH

Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape

(2015) Aston Chipanshi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Potential of ensemble tree methods for early-season prediction of winter wheat yield from short time series of remotely sensed normalized difference vegetation index andin situmeteorological data

(2015) Stien Heremans et al.   Journal of Applied Remote Sensing

Maize yield forecasting by linear regression and artificial neural networks in Jilin, China

(2014) K. MATSUMURA et al.   JOURNAL OF AGRICULTURAL SCIENCE

Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models

(2014) William W. Guo et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale

(2014) Louis Kouadio et al.   Remote Sensing

Analyzing potato response to irrigation and nitrogen regimes in a sub-tropical environment using SUBSTOR-Potato model

(2013) V.K. Arora et al.   AGRICULTURAL WATER MANAGEMENT

Prediction of potato yield based on energy inputs using multi-layer adaptive neuro-fuzzy inference system

(2013) Benyamin Khoshnevisan et al.   MEASUREMENT

Impacts of climate change on irrigated potato production in a humid climate

(2011) A. Daccache et al.   AGRICULTURAL AND FOREST METEOROLOGY

Usage of SUBSTOR model in potato yield prediction

(2009) M. Šťastná et al.   AGRICULTURAL WATER MANAGEMENT

Correlation between potato yield and MODIS‐derived vegetation indices

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