… Besides energy, machine learning algorithms are actively used in greenhouse production
… based on deep learning algorithms to predict diseases in IoT-based smart greenhouse [15]. …

… reviews deep learning and transfer learning algorithms in advanced technologies for
agricultural disease image recognition. The author in [18] uses forest classifier algorithm with color …

… [25] are the most common algorithms in the second class. Supportive … learning algorithm.
This method is based on a sound theoretical foundation that is persistent in statistical learning …

… the performance of the prediction algorithm using the learning module as shown in Figure 3
[… a smart greenhouse environment to predict indoor parameters accurately. The Greenhouse …

… In this work, we introduced an IoT based smart greenhouse monitoring system. Where a
procedure has been designed which will monitor and control present ecological conditions …

… the complete planting process of an autonomous greenhouse, which provides a testbed for
… bi-level optimization algorithm, which can dynamically re-optimize the greenhouse control …

… of a Smart Greenhouse System focuses on a unique mix of greenhouse monitoring, alerting,
… In this research, deep learning algorithms are used to diagnosis the plant diseases. We …

… the greenhouse to make it “smart”, ie the smart greenhouse, is believed to be the solution.
Hence, smart greenhouse … The machine learning algorithm could also identify a variable (light …

… of Things Smart Greenhouse … algorithms used to estimate plant growth in greenhouses
can also be used to estimate temperatures in cold greenhouses which cause the greenhouse …

… of being monitored in greenhouses. This research proposes a smart greenhouse system for
… as a positioning technologies and machine learning algorithms can be developed for data …