Artificial Intelligence and Big Data are driving the advancement of eco-friendly innovation.
In the rapidly evolving landscape of technology, three key players - Artificial Intelligence (AI), Big Data, and Blockchain - are revolutionising the way companies approach sustainability, particularly in the supply chains of agriculture and energy.
Blockchain technology is making significant strides in verifying sustainability claims throughout supply chains. This innovation is not limited to the tracking of products but extends to the monitoring of environmental impacts, ensuring transparency and accountability across the board.
The next five years are set to be a crucial test for AI and Big Data's ability to drive sustainable innovation while delivering returns to investors. AI models, for instance, are now capable of predicting soil health, which not only improves yields but also informs supply chains, influencing consumer markets and personal health.
Texas A&M AgriLife Research is one of the pioneers in this field, building digital twins for South Texas crops, while LandScan has secured a patent for almond production optimization. These digital twin systems, when combined with field-level data, can forecast harvest outcomes six to eight weeks in advance, improving resource efficiency by up to 30% and increasing yields by as much as 20%.
AI-powered platforms are also transforming energy distribution. They can forecast consumption patterns, integrate renewable energy sources, detect potential faults, and optimise the performance of entire grid systems, making energy distribution more resilient and efficient.
Startups have a significant role to play in this transformation, particularly in areas where legacy systems fall short. They are leading the way in measuring the carbon impact of digital operations, providing hyperlocal climate intelligence, and building traceability infrastructure.
Larger corporations can accelerate adoption by acquiring or partnering with innovators in the field of AI and Big Data for sustainable innovation. The Open Power AI Consortium, for instance, brings standardised AI tools to more than 30 energy companies, fostering collaborative innovation and industry-wide adoption.
In Germany, institutions such as Technische Universität Darmstadt, HTWK Leipzig, TU Bergakademie Freiberg, and TU Dresden are leading in related innovations and research projects linked to digital twins in the agricultural sector. However, specific patent holders for digital twin applications in agriculture over the last years are not explicitly listed in the available search results.
The European Union's Digital Product Passport regulation is expected to accelerate the adoption of regenerative systems. The market is beginning to price in lower input risk, higher asset performance, stronger brand equity, and compounding value over time due to the integration of AI and Big Data.
Industry analysts estimate that 40% of large farms will be using digital twins by the end of 2025. These digital twins are being used to manage resources more efficiently by simulating crop growth, soil health, and environmental impacts.
In conclusion, AI and Big Data offer speed, precision, and scalability, making them not just tools for innovation, but essential engines of sustainable growth. The companies that succeed in integrating these technologies as core elements of their strategy will be the essential engines of sustainable growth during the net-zero transition.
Read also:
- Understanding Hemorrhagic Gastroenteritis: Key Facts
- Stopping Osteoporosis Treatment: Timeline Considerations
- Tobacco industry's suggested changes on a legislative modification are disregarded by health journalists
- Expanded Community Health Involvement by CK Birla Hospitals, Jaipur, Maintained Through Consistent Outreach Programs Across Rajasthan
