Short term soil moisture forecasts for potato crop farming: A machine learning approach

Decision support systems for agriculture 4.0: Survey and challenges

(2020) Zhaoyu Zhai et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques

(2020) Roque Torres-Sanchez et al.   Water

Application of random forest classification to predict daily oviposition events in broiler breeders fed by precision feeding system

(2020) Jihao You et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland

(2019) Han Chen et al.   AGRICULTURAL WATER MANAGEMENT

Estimation of daily potato crop evapotranspiration using three different machine learning algorithms and four scenarios of available meteorological data

(2019) Sevim Seda Yamaç et al.   AGRICULTURAL WATER MANAGEMENT

Monitoring soil water content for decision supporting in agricultural water management based on critical threshold values adopted for Andosol in the temperate monsoon climate

(2019) Kassu Tadesse Kassaye et al.   AGRICULTURAL WATER MANAGEMENT

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato

(2016) Raphael Linker et al.   AGRICULTURAL WATER MANAGEMENT

Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data

(2016) Dilini Delgoda et al.   AGRICULTURAL WATER MANAGEMENT

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali et al.   Remote Sensing

Tensiometer-Based Irrigation Management of Subirrigated Soilless Tomato: Effects of Substrate Matric Potential Control on Crop Performance

(2015) Francesco F. Montesano et al.   Frontiers in Plant Science

Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines

(2013) F. Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Applicability of support vector machines and adaptive neurofuzzy inference system for modeling potato crop evapotranspiration

(2012) Hossein Tabari et al.   IRRIGATION SCIENCE

Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images

(2011) Carlton Chu et al.   NEUROIMAGE

A neural network experiment on the site-specific simulation of potato tuber growth in Eastern Canada

(2010) Jérôme G. Fortin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Applying support vector machine to predict hourly cooling load in the building

(2009) Qiong Li et al.   APPLIED ENERGY