Quantum hardware’s depth of analysis would likely advance our understanding of the genetic code of plants – and humans – far beyond what we know today.
AI must be applied not just to growing more of this crop or that crop, but to optimizing agriculture’s entire value chain, writes Joseph Byrum.
Biometric tech has become part of our everyday lives, whether we’re opening a bank account, crossing a border, or unlocking a phone – and it’s coming to our food, too.
Agrobots built around collective computational intelligence could help us better understand the interactions between plant physiology, soil structure, and other environmental factors.
AI that learns through ’embodied intelligence’ could boost agricultural resilience with its greater capacity to adapt to rapidly evolving climatic events.
Many see AI’s ultimate goal as replication of the inner workings of the human brain. But is there another way to look at what AI can do for us?
AI can help solve one of the greatest practical challenges facing agriculture: the problem of food security, writes Joseph Byrum.
Cyberattacks, disinformation, and buyouts are weapons in the warchest for sovereign states that want to close the competitive gap with a rival country’s ag sector.
The next harvest is becoming a matter of economic survival for some growers in uncertain times. With trade wars, pandemics and market plunges, farmers now more than ever need every edge they can get to make the most of the growing season. One thing they can do to up their game is to take inspiration from fighter pilots, writes Joe Byrum.
The pioneering work of Irish brewers a century ago made today’s big data and artificial intelligence gold rush possible, write Joe Byrum.
The Iron Man model of artificial intelligence — combining man and machine — could truly take agriculture into the next era of productivity, writes Joe Byrum.
How do we value the data that come from the farm? The question has no simple answer, writes Joseph Byrum.
This last in a three-part series by Joe Byrum explores the use of data by non-farming organizations and the need to improve data collection for the benefit of the whole agriculture industry.
This is the second article in a three-part series from Joe Byrum about agricultural data as a commodity and currency, this time focusing on farmers.
The first in a three-part series by Joseph Byrum explores the development of data as an agricultural commodity.
Modern sensing instruments have advanced far beyond simple photographic film. Today’s devices measure light, radiation, and heat by capturing different wavelengths of the electromagnetic spectrum, writes Joe Byrum.
While artificial intelligence in agriculture presents many opportunities, there are some inherent challenges when compared to its application in other industries, writes Syngenta’s Joseph Byrum.
In his third of a three-part series on open innovation, Byrum gives three pieces of advice for agribusinesses considering using open innovation to keep up with their peers and not get left behind.
With most agribusinesses continuing to invest in R&D internally, open innovation can be an effective way to access external know-how. Here are some top tips to making it work from Syngenta’s Joseph Byrum.
The first in a three-part series from Syngenta’s Joseph Byrum is about the importance of open innovation in agriculture.
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