From yield mapping and precision livestock through to robotics, simulation, digital twins and cloud computing, at REAP 2022 we will be exploring the technology and looking at the implications from a field to landscape level.
Going to REAP?
Supply chain problems plus the twin challenges of labour shortages and rocketing consumer demand – coupled with technological advances that can deliver results faster – have refocused efforts on automation and autonomy. But the development cost of such systems is a source of increasing frustration. Take a look at how we can have faster, autonomous developments, using highly equivalent simulation.
Another pressing challenge in the industry from a data science perspective is how carbon soil sequestration can be measured in a scalable and profitable way. As many know, agriculture is the only industry in the world with the potential to be carbon negative and offers a tantalising possibility of new revenue for farmers. But to realise the full potential, we need traceability regarding regenerative agriculture practices, as well as combining modern techniques and data science in an economically viable way.
Related Insights
Move over LiDAR, mmWave radar is here [whitepaper]
Is highly equivalent simulation the answer to faster autonomous system development? [opinion]
Autonomous mobile robots navigating dynamic environments [opinion]
Driving Net Zero: is Agri-Tech ready to capture carbon? [whitepaper]
