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Project
- Network
- Hardware
- Irrigation
- Data
- Github Blog
Goal
Our project is the Smart Irrigation System of Agriculture IoT. The previous smart irrigation system usually checks farm and crop status and adjusts amount of water, using some sensors. Our ultimate goal is to use weather API and data to determine the amount of water necessary, considering precipitation.
Portfolio
Portfolio
Current Problem
Drought
In the western U.S., there is severe drought. It can kill plants and make farmers use more water.
Water usage rate
Most automatic irrigation system use more water than is necessary. Because they don't account for the weather. If tomorrow is going to be a rainy day, we don't have to water the plants.
Algorithm
M.A.D for water saving
M.A.D algorithm is Management Allowable Depletion. Using this, we can specify how dry soil can be without water stress. M.A.D depends on A.W.C (Avaliable Water Capacity) and has a specific value for each crop status, like seeds or flowering.
Details on M.A.D
Network for low power
LoRa is Long Range and low-power, wide-area network(LPWAN) technology. It is slower than a 4G or 5G network, but it can communicate at a longer range than them using lower power.
Contribute
PURDUE University
Connor Polanka
CHUNGNAM NATIONAL University
Myungwoo Yang
Jeongjun Lee
Subeen Jeong