A framework for predicting soft-fruit yields and phenology using embedded, networked microsensors, coupled weather models and machine-learning techniques.
Mark A. LeeAngelo MonteiroAndrew BarclayJon MarcarMirena Miteva-NeaguJoe ParkerPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- probabilistic model
- modeling framework
- bayesian framework
- long term
- machine learning algorithms
- multi agent
- prior knowledge
- lightweight
- complex systems
- mathematical models
- experimental data
- statistical models
- mathematical framework
- learning algorithm
- statistical methods
- process model
- hidden markov models
- knowledge base