Machine Learning in Agriculture: A Review

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Least Squares Support Vector Machine Classifiers

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Multivariate Adaptive Regression Splines

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Hierarchical Clustering Schemes

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A general regression neural network

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Least Squares Support Vector Machines

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Deep learning models for plant disease detection and diagnosis

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Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks

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CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine

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Deep Boltzmann machines

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Locally Weighted Learning

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Some studies in machine learning using the game of checkers

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Multilayer perceptron, fuzzy sets, and classification

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Machine learning models and bankruptcy prediction

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Counterpropagation networks

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Deep learning for plant identification using vein morphological patterns

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Wheat yield prediction using machine learning and advanced sensing techniques

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Vision-based pest detection based on SVM classification method

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Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

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A deep learning ensemble approach for crude oil price forecasting

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Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

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Automatic detection of ‘yellow rust’ in wheat using reflectance measurements and neural networks

Moshou, D., Bravo, C., West, J. S., Wahlen, S., McCartney, A., & Ramón, H. (2004) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2004.04.003 · Cited by 332 · see citing works

Towards on-farm pig face recognition using convolutional neural networks

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Taylor expansion of the accumulated rounding error

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Self-Adaptive Evolutionary Extreme Learning Machine

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Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

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A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm

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Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma

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Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

Rhee, J., & Im, J. (2017) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2017.02.011 · Cited by 245 · see citing works

Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration

Mehdizadeh, S., Behmanesh, J., & Khalili, K. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.05.002 · Cited by 239 · see citing works

Extensive identification and analysis of conserved small ORFs in animals

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Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps

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Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy

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An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives

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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective

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Supervised Kohonen networks for classification problems

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Dynamic cattle behavioural classification using supervised ensemble classifiers

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Detecting Bakanae disease in rice seedlings by machine vision

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Automated tracking to measure behavioural changes in pigs for health and welfare monitoring

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Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture

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Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions

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Active learning system for weed species recognition based on hyperspectral sensing

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Modeling Managed Grassland Biomass Estimation by Using Multitemporal Remote Sensing Data—A Machine Learning Approach

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Automatic fruit count on coffee branches using computer vision

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Detection of cherry tree branches with full foliage in planar architecture for automated sweet-cherry harvesting

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Explaining machine learning models in sales predictions

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Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV

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An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

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Matching and Prediction on the Principle of Biological Classification

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Extreme learning machine based prediction of daily dew point temperature

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Using self-adaptive evolutionary algorithm to improve the performance of an extreme learning machine for estimating soil temperature

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Support vector machine-based open crop model (SBOCM): Case of rice production in China

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Classification of geographic origin of rice by data mining and inductively coupled plasma mass spectrometry

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Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning

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A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs

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Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review

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Remote electronic examinations: student experiences

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Evaluation of hierarchical self-organising maps for weed mapping using UAS multispectral imagery

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Machine learning assessments of soil drying for agricultural planning

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Simultaneous identification of plant stresses and diseases in arable crops using proximal optical sensing and self-organising maps

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Learning vector quantization

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Water stress detection based on optical multisensor fusion with a least squares support vector machine classifier

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Artificial neural network models of the rumen fermentation pattern in dairy cattle

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Controlled comparison of machine vision algorithms for Rumex and Urtica detection in grassland

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Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers

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Support Vector Regression to predict carcass weight in beef cattle in advance of the slaughter

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Early warning in egg production curves from commercial hens: A SVM approach

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Classification of foreign matter embedded inside cotton lint using short wave infrared (SWIR) hyperspectral transmittance imaging

Zhang, M., Li, C., & Yang, F. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.05.005 · Cited by 70 · see citing works

Multiple regression analysis of factors influencing dominant hand grip strength in an adult Malaysian population

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Detection of Silybum marianum infection with Microbotryum silybum using VNIR field spectroscopy

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Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener

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Improved estimation of bovine weight trajectories using Support Vector Machine Classification

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In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning

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

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Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data

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Fast detection of pathogens in salmon farming industry

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A tensor-based approach to touch modality classification by using machine learning

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Italian tomato-based products authentication by multi-element approach: A mineral elements database to distinguish the domestic provenance

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Tool-body assimilation model considering grasping motion through deep learning

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Differentiation of deciduous-calyx and persistent-calyx pears using hyperspectral reflectance imaging and multivariate analysis

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Communality of a Variable: Formulation by Cluster Analysis

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MODELS FOR REASONING UNDER UNCERTAINTY

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Artificial neural networks to model the rumen fermentation pattern in dairy cattle.

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The philanthropy business

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The AI Gambit — Leveraging Artificial Intelligence to Combat Climate Change: Opportunities, Challenges, and Recommendations

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The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

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Review of the State of the Art of Deep Learning for Plant Diseases: A Broad Analysis and Discussion

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Tackling climate change with machine learning

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Smart microalgae farming with internet-of-things for sustainable agriculture

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Machine Learning for Human Learners: Opportunities, Issues, Tensions and Threats

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Reviewing Federated Machine Learning and Its Use in Diseases Prediction

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