THE MOST ADVANCED TECHNOLOGIES FOR THE OLDEST INDUSTRY
AI
Replace your precious time and opportunities with well-trained AI
IoT
Hands and eyes of AI. Our solutions do not require any app installation. Enjoy remote farming with any devices you like!
Cloud
Microsoft Azure cloud hosts our solutions. You don't have to install server computer on your farm!
Inexpensive and Amaging Horticulture Solutions
We apply the most advanced technologies to reduce unnecessary costs.
Portfolio
Installation Cases and Crops
Vegetable Cultivation System
Rare or Medical Crop System
Hemp Cultivation System
Home-Edu System
Fertilization System
Germination System
Team Members
Experts from various area
Soobin Kim
CEO
Byunghyun Ban
CTO
Minwoo Lee
Horticulture
Janghoon Lee
Developer
Donghun Ryu
Facility Design
Changyeol Lee
Accounting Team
Yeongbeom Kwon
Facility Team
Taedong Eom
Researcher
Ui Choi
Developer
Patents
We are the best in this field
NET Certificate
Precise Fertilization
Patent. 10-2100350
Environment Control AI
Patent. 10-2069202
Sensor Signal Processing
Patent. 10-2118957
Precise Fertilization System
Patent. 10-2134655
Oxygen & Nutrient Control
Patent. 10-2053738
Nutrient Monitoring
Patent. 10-2139928
Stable IoT Network
Patent. 10-2162817
Precision Nutrient Control
Vegetable Cultivation System
NET Certificate
Provide insufficient ions only!
Rare or Medical Crop System
Patent. 10-2100350
AI based environment control solution
Modeling of nonlinear and black-boxed greenhouse environment
Greenhouse environment simulation in continuous scale
Reinforcement Learning Based Control AI Agent
Hemp Cultivation System
Patent. 10-2069202
ISE does not work correctly in a complex mixture of various ions. Machine learning based sensor signal processing technology is applied to the sensors to obtain appropriate values.
Home-Edu System
Patent. 10-2118957
Differential equation models to understand interaction between plant and nutrient solution are presented. The root cells selectively emit H+ ions with active transport consuming ATPs to establish electrical gradient along the cell membrane. It establishes electrical field with Nernst potential to make positively charged ions outside the cell membrane flow into the root cell. Anion influx is also modulated by H+ ion concentration because plant root cell absorbs negatively charged particles with symport. If an anion collides with H+ cell to make net charge as neutral, at symport channel, it can flow through. In this paper, mathematical models for cation and anion absorption are introduced. Cation absorption model was induced from Ohm's law combined with Goldman's equation. Anion absorption model is similar to chemical reaction rate model. Both models have physiological terms influenced by gene expression pattern, species or phenotypes. Cation model also includes terms for ion's kinetic and electrical properties, growth of plant and interaction between the root and the surroundings. Simulation for 20 different sets of coefficients showed that the physiology-related coefficient has important role on nutrition absorption tendencies of plants.
Fertilization System
Patent. 10-2134655
It controls nutrient amount and dissolved oxygen in nutrient solution
Germination System
Patent. 10-2053738
In closed hydroponic systems, periodic readjustment of nutrient solution is necessary to continuously provide stable environment to plant roots because the interaction between plant and nutrient solution changes the rate of ions in it. The traditional method is to repeat supplying small amount of premade concentrated nutrient solution, measuring total electric conductivity and pH of the tank only. As it cannot control the collapse of ion rates, recent researches try to measure the concentration of individual components to provide insufficient ions only. However, those approaches use titration-like heuristic approaches, which repeat adding small amount of components and measuring ion density a lot of times for a single control input. Both traditional and recent methods are not only time-consuming, but also cannot predict chemical reactions related with control inputs because the nutrient solution is a nonlinear complex system, including many precipitation reactions and complicated interactions. We present a continuous network model of the nutrient solution system, whose reactions are described as differential equations. The model predicts molar concentration of each chemical components and total dissolved solids with low error. This model also can calculate the amount of chemical compounds needed to produce a desired nutrient solution, by reverse calculation from dissolved ion concentrations.
Patent. 10-2139928
It provides flexiblity to hierarchy structure of IoT device network. If one device does not work well, the other devices take the hierarchy so that one error does not disturb the whole system.
Patent. 10-2162817
We present an automated system for nutrient solution management. Prior arts usually measure only pH and EC of the nutrient solutions for maintenance. When EC drops, they just simply add concentrated nutrient to the horticulture bed. Such approach can maintain the density of nutrient solution but cannot maintain the rates of individual ion particles. To prevent nutrition related disorders, fertilization methods with ion selective electrodes are widely introduced. This trend measures individual ion concentration of nutrient solution to maintain appropriate nutrient composition by supplying only insufficient ions. Many researchers have suggested ISE based automated fertilization systems. However, they failed to control a chemical artifact called ion interference effect, which becomes greater at higher density. Our system measures individual concentration of multiple ions and add only deficient nutrients, while handling the ion interference effect issue. To ensure the performance of ion selective electrodes, the system also performs fully automated 3-point calibration 24 times a day. A machine learning algorithm is applied on the sensory parts to remove ion interference effect which make measurement of complex solution with ISE almost impossible. With automated calibration and signal processing technology, the system robustly and continuously maintains nutrient condition for plants. We suggest applying this system on closed hydroponic systems such as smart farms or plant factory, to reduce water consumption and to provide more appropriate environment for the crops.