The human race has come a long way in our ability to produce food at scale. In spite of the advances, even when technology has allowed us to improve and streamline food production, more than 800 million people around the world remain undernourished. Maybe it is the turn of AI-driven agriculture, autonomous robots and better insights to help close this gap and eradicate famine. With the world’s population growing at a vertiginous rate, this might be our generation’s biggest challenge.
Artificial intelligence, predictive analytics and other technologies are quickly becoming essential tools for growth across multiple industries. Agtech is no different. What’s more, agtech investment is booming.
Digitization of data collection processes in the crop fields will be at the heart of the next agricultural revolution. Sensors, cameras, robots, drones and other artifacts deliver an increasing amount of data that is exponentially richer in quality and quantity. The decision-making process will be greatly influenced by these technologies that provide an unprecedented level of data and insights. The management and orchestration of these new technologies will be a challenge and because of this, simplicity and usability must be at the top of the agenda for those of us who develop software and hardware.
Precision agriculture and automatization of food production are priorities for any food grower and, to an extent, for any stakeholder within the food industry. It can be argued that this upcoming agricultural revolution is only possible thanks to two other technological breakthroughs: deep learning algorithms and cheaper Internet of Things (IoT) hardware.
It’s now up to both the agtech industry and farmers to learn from each other and reimagine the future of agriculture. It is, after all, a revolution.