Whilst at an Everything Internet of Things (IoT) Summit in Sydney I heard about how lots of disruptive technology is connecting the world and in particular my own industry, agriculture. One of the stand-out discussions I had was with the founders of a company that makes soil water sensors. Initially built for horticulture, this company has a cracking business model across the entire agricultural industry. They were able to find a big pain point that exists across a huge market, and that was ‘how do I know if my plants are over or under-irrigated’?
But the technology they use isn’t novel, it’s a soil water monitor that connects to the cloud via a 3G network to feed the data back to the farmer. Tech like this has been around for decades but what this company has been able to do is to apply it in such a way that it answers a specific question posed by many.
It got me thinking, whilst water is one key component in horticulture, what about the remaining data a farmer might want to use to make decisions? As of right now there is no single piece of hardware out there that captures all the information a farmer might need (if there is let me know, I want to buy shares). I’m not just talking soil water, I’m talking technology to monitor staff output, cattle location, fences, pumps, tank levels, silo levels, soil health and so on. Whilst a farmer might be able to adopt a few pieces of hardware to capture some of this data, how do they know what to use, where to use it, and whether the cost is worth the payoff? Not to mention how all this technology would interface with their existing farm management software.
This is a term a friend and mentor dropped on me the other day. A crossover between technology and agronomy, techgronomy is the use of technology in agriculture. A techgronomist then is someone who helps advise farmers on what technology they can adopt to optimise their business. This includes applying sensors and software to solve the specific business problems of that farm.
Why is this important?
There’s a lot of technology out there when it comes to agriculture. Many of which solve specific problems in a specific way. However these problems aren’t necessarily the same for every farmer or in every farm scenario. Even if two farms next door to one another produce exactly the same thing, each farm still has unique business problems due to different infrastructure, soil, and even climate. As a result their data needs are different too. Whilst one farmer may want her water usage data and needs water sensors to do so, another may want to optimise his diesel usage by monitoring the average fuel consumption data of his tractor.
Scaleable markets around many farm problems are just not there and the cost of buying sensors as well as building a software platform to solve the same problem on every farm is not always worth the return either.
For technology companies it’s not always worth building a business to solve these specific problems. Scaleable markets around many farm problems are just not there and the cost of buying sensors as well as building a software platform to solve the same problem on every farm is not always worth the return either.
Bespoke vs Off-the-shelf
This is where the techgronomist enters the picture. They identify the appropriate technology or group of technologies required to create a bespoke solution to the farmer’s problem, as well as identifying the return on investment associated with doing so. This is being made easier by ‘IoT’ hardware companies that produce cheap and easily accessible sensors with an open API that anyone can use to retrieve their data from the cloud. Now when it comes to collecting data the techgronomist chooses the specific sensors they need and applies them to what they need to measure. For example, a farm may be losing cattle to disease so the techgronomist deploys water and temperature sensors to water tanks and feed troughs to collect data. This allows the farmer to reduce feed contamination and save on vet bills.
The result is that the farmer doesn’t need to have 300 different data sources from 30 different tech companies on her farm. Instead she gets a bespoke solution with a single data output... to meet her own unique challenges
The techgronomists next client might need better irrigation control so the techgronomist uses the same water and temperature sensing technology to measure water saturation and shut off a valve once a paddock is properly irrigated.
The result is that the farmer doesn’t need to have 300 different data sources from 30 different tech companies on her farm. Instead she gets a bespoke solution with a single data output (which may be from multiple sensors) to meet her own unique challenges.
Whilst I think startups have a large role to play in the Agtech space we also need to consider the role of techgronomists in designing bespoke agricultural solutions to problems that don’t scale. The challenge is that techgronomy is complicated. It sits at the cross roads of agriculture and technology and requires an understanding of the farm business as well as sensor technology and software. More importantly IoT sensors need to be cheap and customisable enough to be accessible to a farmer (not to mention durable!). Fortunately the demand is there, farmers are continuing to understand the importance of technology when it comes to reducing farm costs, saving time and increasing yields. As a result I predict that we’ll see an increase in the importance of, and reliance on techgronomy and techgronomists into the future.