“One of our farmers has a 100-hectare sugarcane farm,” Eric says. “Prior to automation, he had to go to the farm several times a week and occasionally multiple trips in a single day to turn the pumps for irrigation on and off. His home is about 33 kilometres from his farm, so it took him a lot of resources in money and time to do this. The auto-irrigation system was set up with the base station in a shed on his farm and he can operate it from home.”
To assist with scheduling irrigation events, the farmer used a sugarcane crop model. The sugarcane crop model uses information, such as soil type, planting dates and local weather data to calculate the daily water usage of each crop. From this information, the farmer was then able to determine the timing and volume of water to be applied to each field. However, this required the farmer to interact with two independent tools and manually transfer irrigation information from the automation software to the crop model. In a typical year, this farm has more than 1,000 separate irrigation events, making the information transfer a time consuming and tedious task.
“In the new system, we will automatically input the information and the model will calculate the optimum amount of water to apply and when would be the best time for irrigation. This will reduce the likelihood of using too much water, which results in runoff.”
Dr Eric Wang
What takes the irrigation system to the next level is the linking of the sugarcane crop model and automation. Eric has been able to make the irrigation information, that is the date, field and volume applied stored in the automation software, automatically transfer into the sugarcane crop model. This achievement is an enormous time saver for the irrigator.
Eric says this is just the beginning of smart irrigation. He would like to incorporate moisture, humidity and temperature sensors as well as camera monitoring into the system.
“If we have greater data input, we can make better decisions,” he says. “These sensors would provide more insight into the growth of the plants for the model, which can then operate the valves. The farmer will save time, while knowing the smart system is turning irrigation on and off and monitoring flows and pressures.”
Eric hopes the trials will prove that as well as saving time, the smart irrigation system will produce greater crop yields. This could be the key to attracting more farmers to adopt the system.
“Only two farmers use this system and they are in the Burdekin,” Eric says. “There are hundreds of sugarcane farms and farmers. We want to use the farms in the Burdekin to demonstrate that this is the time for agriculture to embrace this technology.”
Agricultural technology will not be limited to sugarcane farmers. Eric hopes to plant the seed of innovation across the agricultural industry and would like to collaborate with other farmers to develop tailored IoT Smart Irrigation Systems.
“We want to encourage more farmers to adopt this technology,” Eric says. “I would love to talk to banana and mango farmers in Far North Queensland. What we are doing with sugarcane is universal, we just need to develop the corresponding model for the crop. Agriculture is just one of the applications for IoT, but a good one because now farmers can free up time to do other important work on the farm or spend time with their families.”
This project is supported by National Environmental Science (NESP) Tropical Water Quality (TWQ) Hub Project #3.1.2: Improving water quality for the Great Barrier Reef and wetlands by better managing irrigation in the sugarcane farming system.