Artificial Intelligence and design for climate-resilient food production

Using precision imagery plus AI to revolutionize Sustainable Farming

The system uses imagery and environmental sensors to monitor plant growing conditions in real time. Growers can view a specific plant, from anywhere through software accessible on handheld devices. They set the environmental and growing parameters and are able to set up alarms if those conditions change. With access to recorded data, growers can also “go back in time,” to view and compare plant growth and conditions from previous days, weeks, months, and even years, side by side with current crop conditions.

But developing an AI solution is not about replacing growers; it’s about augmenting their jobs by allowing them to be in two places at once, work proactively instead of reactively to solve plant growth issues in real-time, and redirect the way they use their time by reducing the number of hours dedicated toward scouting crops and walking through greenhouses to check environmental conditions. Instead, growers can check crop conditions over coffee remotely, and flag problems, create task lists and assign tasks to staff members before they walk into work in the morning.

The hydroponic system is a new cropping innovation in agriculture. In biological studies, plant growth and health assessments are still evaluated manually by human observations, which are time-consuming and destructive. Because of this, there is an increasing demand for objectivity and efficiency. Thus, the automatic image analysis technique has become a useful tool in biological researches. The image analysis method is a non-invasive and non-destructive sensing system. It can be used to extract and quantify different kinds of information like size, shape, color, moisture, and growth rate of a specific plant.