Publisher’s note: Pending 2025, AGTECH promises to provide evolutionary solutions to pressing challenges such as the scarcity of resources, the impacts of climate change and the resilience of the food system. Innovations in regenerative agriculture, information on data fueled by AI, biosolutions and digital twins will open the way. Reflecting on the progress of 2024, Ron Baruchi, CEO of AgmatixExplore how this progress is shaping the future of global agricultural innovation, transforming potential into a practical and impactful change.
Last year tested the agricultural technology sector and producers, with an increase in costs, climatic challenges and persistent uncertainties pushing a lot to embrace a state of mind “do more with less” within tight deadlines. While Agtech continued to revolutionize traditional practices, the challenges of the past year tempered its speed and impact. My 2024 predictions highlighted the preparation of the sector for processing, but the realities of the year stressed the resilience required to overcome these obstacles.
While we are thinking about how technologies have evolved in 2024 to support these realities, we explore what they mean for the future of agricultural innovation on a global scale – transforming potential into practical and evolving solutions to meet the requirements of a changing world.
# 1 Data -based regenerative agriculture
Regenerative agriculture transforms global agriculture by improving soil health, biodiversity and sustainable production. The AI allowed farmers to adopt these methods more effectively by adapting decisions to local conditions and ecological needs. In 2024, I provided for an increased adoption of regenerative practices, supported by advanced analyzes.
Result:
The adoption has indeed accelerated, but with a wider than expected objective. THE McKinsey Global Farmer Insights 2024 survey revealed that 68% of farmers have adopted crop rotations, 56% implemented a reduction in work or not work and 40% used spraying or fetal at variable rate. However, motivations varied regionally, improving yields was essential in India, Latin America and North America, while European farmers have prioritized additional sources of income.
In the future:
The “positive of nature” movement, which emphasizes the net gains in biodiversity and the health of ecosystems, is gaining ground. 2025 will probably see that the measures develop beyond carbon to include soil quality, biodiversity levels and forest conservation, allowing farmers to meet the specific regional ecological requirements. This development supports the practical means of measuring and assessing the impact of regenerative agriculture, thus improving the resilience and sustainability of agricultural systems.
# 2 Generative AI: Unlock new data potential
The generative AI revolutionizes agriculture by transforming large sets of data into usable ideas, allowing farmers, agronomists and researchers to optimize productivity and sustainability. As 2025 approaches, I expect AI to play an increasingly critical role in data analysis and decision -making.
Result:
The integration of AI into agriculture has progressed faster than expected, passing from simple chatbots to agents of sophisticated AIs powered by large language models (LLM). These agents are now committed to conversations, perform tasks and show a certain degree of autonomous behavior, fundamentally remodging the analysis of agricultural data and decision -making.
In the future:
In 2025, the generating AI should become a cornerstone for agricultural companies. Advanced platforms using AI already exist, unlocking real-time information from large data sets, empowering agronomists and researchers to optimize product performance and accelerate decision-making. The adoption of these tools will help to validate the effectiveness of solutions such as biologicals, which play an essential role in the progress of sustainability.
# 3 Data -based product development for the success of producers
Data -centered technologies optimize the results of field tests, improve decision -making and stimulate innovation in agricultural practices. Beyond the rationalization of operations, these technologies had to allow breakthroughs through the agricultural value chain in 2024, accelerating the pace of innovation.
Result:
In the past 12 months, we have attended an increasing concentration on the use of data to meet the evolutionary needs of producers, preparing the way for additional integration and innovation in 2025. The adoption of digital tools varied considerably from one sizes and an agricultural sizes to the other. In North America, 61% of farmers used digital agronomy tools, 51% adopted precision agriculture equipment and 38% used remote sensing technologies. However, absorption was lower in other regions and among small farms.
In the future:
In 2025, I expect the data -based solutions to be an integral part of efficiency through the agricultural value chain. From the acceleration of product tests to the optimization of precision crop nutrition protocols, these tools will provide usable information, improving productivity and supporting real -time regenerative practices. As biodiversity becomes a priority, data tools will measure the impact of agricultural practices on local ecosystems, helping companies achieve the objectives of sustainability and productivity.
# 4 Meeting resource constraints with AI and automatic learning
To meet the needs of a growing world population, in the midst of finished resources and cost increases, agriculture must adopt innovations such as biosolutions, AI and automatic learning. These technologies improve productivity while reducing environmental impact. In 2024, we expected an increased emphasis on innovations to treat resources constraints, in particular with the use of biosolutions.
Result:
The development and adoption of biosolutions have progressed, Brazilian farmers pave the way (adoption rate of 64%) due to government support and high fertilizer costs. Although this happened in 2024, adoption rates varied considerably from one region to another.
In the future:
In 2025, while more and more companies adopted “positive” objectives, pilots and real world trials will increase to validate new biosolutions and other innovative products. These trials will be crucial to assess the impacts of varieties, products or specific practices on return and the environment, guaranteeing solutions that effectively approach climate change, resource constraints and global food demand.
# 5 Digital Twins: the unexploited border of agriculture
Digital twins are virtual replicas of real world systems, allowing simulation and prediction without physical tests. Although widespread in health care and manufacturing, they are underused in agriculture, despite its potential for improving precision and reducing costs in the field tests. We predicted that 2024 would see an increase in the use of digital twins.
Result:
In 2024, agriculture was lagging behind other industries in the adoption of digital twins and synthetic data, hampered by challenges such as the limited integration of data, the adoption rates of slower technologies and the complexity of the replication of dynamic environmental variables in virtual models. However, the interest in digital twins has increased, preparing the way for future progress.
In the future:
In 2025, digital twins will gain ground in agriculture, being the ideal moment for its adoption and scaling. By allowing virtual tests of variables such as soil types and weather conditions, they will reduce the time and costs of product tests and support more precise innovation in agricultural practices. The integration of synthetic data will further improve the effectiveness of field trials, precision and security. This combination allows researchers and agronomists to model scenarios that were previously unexpected, supporting the use of more intelligent resources and adaptive management strategies. These models will help us to better understand and manage the ecological impact of various practices, opening the way to a more resilient and lasting agricultural future.
Build a sustainable future for agriculture
Reflecting in 2024 and pending 2025, it is clear that the agricultural sector evolves quickly. And although many of my 2024 predictions were on the point, the pace and the direction of change were surprisingly slow.
Thus, in 2025, I foresee even more advances in data -based agriculture, as well as automatic learning and other innovative solutions to allow us to combat resource constraints. And I expect it to be in combination with the adoption of disturbing technologies such as digital twins. It is also clear for me that the impact of artificial intelligence in agriculture will continue to be a key engine to shape a regenerative agricultural future.
In conclusion, to take advantage of this progress in 2025, agricultural stakeholders should:
- Prioritize data integration and interoperability.
- Focus on the development of user-friendly solutions.
- Involve education and support for new technologies.
- Foster collaboration between technology suppliers, research institutions and agricultural stakeholders.
- Adapt solutions to regional needs and farm sizes.
By adopting these trends and focusing on practical implementation, agriculture can create a more resilient, productive and sustainable future for food production. Commitment to biodiversity and positive practices by nature, as well as technology -oriented progress, will be essential to shape a truly sustainable agricultural future.
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Top 5 AGTECH Trends for 2025: What is the next step for regenerative agriculture?