… 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 …

… of Smart Greenhouse System that focuses on novel combination of monitoring, alerting,
automation and data analysis aspects of the greenhouse. … through deep learning techniques. …

… The focused analysis, specifically on greenhouse environments, fills a gap compared to
previous … and deep learning in driving the emergence of data-driven, smart greenhouse farming …

… different ambient factors of a greenhouse will eventually lead to … smart greenhouse using
an ensemble of deep learning algorithms. To do so, the solution follows an integrated learning …

… to control greenhouse operations based on deep learning. The … greenhouse control
equipment, in view of taking possible corrective actions. Edge Intelligence allows the greenhouse to …

… One of the biggest challenges in smart greenhouses is the automatic determination of … on
a convolutional neural network deep learning model for smart greenhouses. The focus of the …

… Solely depending on measurements taken from sensors is not enough for having healthy
crops in greenhouse. Having a deep learning model for predicting the future atmospheric …

… use of deep learning techniques, … deep learning techniques, to detect diseases in grapevine
plants and achieved over 80% accuracy in this mixed scenario. In summary, a deep learning …

… Smart agricultural greenhouses provide well-controlled conditions for crop cultivation but …
factors with high nonlinearity and noise in a smart greenhouse. Firstly, the original data are …

… predicting the greenhouse interior environment using artificial intelligence machine learning
… Various methods have been studied to predict the internal environment of the greenhouse …