[INQ. NO. 2210E27] Thanks to the AI-Saas platform, this solution offers a cultivation logic that is able to predict a yield and provide automatic cultivation, which is made possible thanks to the monitoring system, the yield prediction, and the actuator cultivation logic. Through the entire process, it can provide standard service regarding crop cultivation.
MaaS UI’s automatic cultivation platform is made up of an actuator controller used to control environmental data within a greenhouse, a cultivation logic used to analyze crop activities for yield prediction and a standard model used to predict a yield and control the environment.
In addition, the platform is connected with LTE Internet router-gateway-sensor nodes- actuator nodes — all of which can be installed within a greenhouse, to operate a converged smart farm system.
It provides a cultivation logic solution, together with another solution that suggests the best selling prices for each region by monitoring prices set at joint markets and other distribution markets in real time.
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It is an easy, fun coding SW teaching aid that can learn C-language systematically while making an IoT model selfdriving vehicle using Arduino and an intelligent sensor. It is a step-by-step system that a learner can be an IoT programmer within 30 hours after learning three functions and variables per unit time. It helps a learner design coding that has a story with a design through 3D printing, without a simple connection of Arduino and embedded. We provide experiential coding contents that a learner codes after watching and assembling a circuit diagram by himself. The hippocampus learning system that remembers codes with the image learning method is applied. It is used in domestic and overseas elementary schools, junior high schools and high schools as teaching materials in after-school programs
It is an easy, fun coding SW teaching aid that can learn a block-type algorithm and C-language systematically while making an IoT smart farm using an intelligent sensor. It is a step-by-step system that a learner can be an IoT programmer in 30 hours after learning three functions and variables per unit time. We provide experiential coding contents that even beginners can code after watching and assembling a circuit diagram easily by themselves. The hippocampus learning system that remembers codes with the image learning method is applied. It can be used in domestic and overseas elementary schools, junior high schools, and high schools as coding teaching materials in after-school programs IoT Agriculturalist Training Institution.
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