(Maerket-as-a-Service) UI Solution 1.0
horticulture AI platform UI service
smart farm crop activity analysis solution software
and smart phone application service
1. collecting environment and crop data through lte router and gateway embedded with sensors as 1st step analysis of monitoring application solution on apache hadoop based AI platform data frame, and analyzing and predicting crop activity data through embedded software controller of ai deep learning, and controlling driver like compound controller through cultivation logic controller embedded software.
2. Embedding Software Development on Plaform Server, and Adapting for horticulture vegetable: 1) Making model with the parameter of nutritional-reproductive growth index and environmental index through supervised machine learning, and deep machine learning using tensorflow with utilizing RNN algorithm architecture 2) Using MQTT server, Making cultivation logic with logic controller of growth-environmental filtered data for the control key 3) Making the control key value for horticulture controller devices subject to the optimized prediction deep learning model on the parameters of growth environmental index as follows; - Deep machine learning controller embedding with RNN algorithm to forecast the optimized parameter value through the process-analaysis of supervised machine learning using RNN AI deep learning algorithm controller - MQTT server cultivation logic controller embedding for horticulture controller device after optimized forecast and interface with supervised learning database on filtering rule specification by UI domain knowledge
3. circulation pricing-controller monitoring anf contrlloer control and pricing forecast proposal management system Google play + App Store