Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning
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- Type
- article
- Published
- 2019-01-17
- Cited by
- 31
- References
- 49
- Access
- Open access
- OpenAlex
- https://openalex.org/W2910274388
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:85520846
Keywords
Greenhouse, Environmental science, Calibration, Decision tree, Leaf wetness
References
- A Fast Decision Tree Learning Algorithm
- Virtual Sensors for Designing Irrigation Controllers in Greenhouses
- Surface wetness duration under controlled environmental conditions
- ESTIMATING WETNESS DURATION ON MAIZE EARS FROM METEOROLOGICAL OBSERVATIONS
- Estimation of leaf wetness duration using empirical models in northwestern Costa Rica
- Threshold Relative Humidity Duration Forecasts for Plant Disease Prediction.
- Exploratory regression analysis: A tool for selecting models and determining predictor importance
- Original papers: A data-driven model simulating primary infection probabilities of cucumber downy mildew for use in early warning systems in solar greenhouses
- New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco
- Neural network for the estimation of leaf wetness duration: application to a Plasmopara viticola infection forecasting
- Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada
- Using operational weather data to schedule fungicide sprays on tomatoes in Southern Ontario, Canada
- Modelling leaf wetness duration and downy mildew simulation on grapevine in Italy
- Artificial neural network models of wheat leaf wetness
- Estimation of leaf wetness duration for greenhouse roses using a dynamic greenhouse climate model in Zimbabwe
- Gray leaf Spot: A Disease of Global Importance in Maize Production.
- Development and validation of a leaf wetness duration model using a fuzzy logic system
- Modeling Leaf Wetness in Relation to Plant Disease Epidemiology
- Regression and artificial neural network modeling for the prediction of gray leaf spot of maize.
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
Cited by
- Dew Yield and Its Influencing Factors at the Western Edge of Gurbantunggut Desert, China
- Leaf Wetness Duration Models Using Advanced Machine Learning Algorithms: Application to Farms in Gyeonggi Province, South Korea
- Development of an empirical tomato crop disease model: a case study on gray leaf spot
- The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel
- Optimization of a leaf wetness duration model
- Comparison of the performance of leaf wetness duration models for rainfed jujube (Ziziphus jujuba Mill.) plantations in the loess hilly region of China using machine learning
- Prediction of Leaf Wetness Duration Using Geostationary Satellite Observations and Machine Learning Algorithms
- Approaches for the Prediction of Leaf Wetness Duration with Machine Learning
- Estimating leaf wetness duration with machine learning and climate reanalysis data
- A 3-D simulation of leaf condensation on cucumber canopy in a solar greenhouse
- A model-based methodology for the early warning detection of cucumber downy mildew in greenhouses: An experimental evaluation
- Spatial variability of leaf wetness under different soil water conditions in rainfed jujube (Ziziphus jujuba Mill.) in the loess hilly region, China
- The Use of Artificial Neural Networks for Determining Values of Selected Strength Parameters of Miscanthus × Giganteus
- A CFD transient model of leaf wetness duration on greenhouse cucumber leaves
- Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic
- Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools
- Modeling the dynamic changes in Plasmopara viticola sporangia concentration based on LSTM and understanding the impact of relative factor variability
- Leaf wetness duration modeling for the improvement of fungal risk evaluation in low tech greenhouse
- A hierarchical optimization strategy in the intelligent ecological control of the greenhouse downy mildew
- Bilinear LSTM with Bayesian Gaussian Optimization for Predicting Tomato Plant Disease Using Meteorological Parameters
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