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How AI Can Impact Agriculture For Better or Worse

Jari Haiston in Blogs on March 05, 2025

About Jari Haiston

Jari Haiston is part of the growing digital marketing team at Symmetry Electronics. Jari comes from a background in technical writing and event coordination. In her current role, she specializes in content creation and social media management. Jari's focus as a writer is to create interesting content that is accessible to any audience.
Will AI impact the agricultural industry for better or worse?

It’s no secret that the agricultural sector is at a pivotal crossroads. With unprecedented challenges like farm labor shortages and the ever-increasing demand for global food production, there’s an urgent call for innovation. Just look at the price of eggs in the wake of the ongoing avian flu crisis. In this climate, ensuring the sustainability of food production is more critical than ever – that’s where tech comes in.

AI-enables solutions, powered by advances in machine learning and precision agriculture, offer promising opportunities in surmounting agricultural obstacles. From optimizing irrigation systems to monitoring soil and crop health, AI technologies can revolutionize farming sectors.

Precision Agriculture: A Data Driven Revolution

Modern farming is rapidly evolving with the integration of sensor networks, IoT devices, and AI-enabled systems. These technologies work in unison to continuously monitor soil conditions, crop health, and weather patterns to provide farming professionals with a holistic view of operations.

By enabling real-time monitoring and data analytics, precision agriculture drives increased production and crop yields while reducing waste. Smart systems ensure that resources like water and fertilizer are used efficiently, mitigating the risks associated with traditional, one-size-fits-all approaches.

In regions where precision agriculture has been adopted, farmers report significant improvements in crop growth and overall yield. Comparatively, farms using conventional methods often struggle with resource mismanagement and inconsistent crop health.

The current use of IoT and AI in precision agriculture.
Source:  Market.us

Emerging AI Trends in Agriculture

The future of agriculture lies in the further integration of AI and machine learning (ML). Emerging trends include advancements in sensor technology and the increased adoption of precision agriculture practices. These trends are set to redefine how we approach food production, crop growth, and resource management.

For example, considering the recent challenges like the avian flu epidemic, biosecurity has become a significant concern. AI technologies can be used to bolster biosecurity efforts in food production sectors. Advanced ML algorithms, combined with real-time sensor data, are being implemented to monitor and predict the spread of diseases to provide early warning signs, enable rapid response measures, and more. AI-enabled proactive approaches help to mitigate the impact of outbreaks, protect livestock, and ensure the overall stability of food production.

Man at the door of factory applying alcohol to the shoes of the workers arriving to work to ensure biosecurity.
Another compelling trend in precision agriculture is the influx of AI assistive robots, or autonomous mobile robots. Designed to perform a range of farming tasks from seeding and harvesting to continuous crop monitoring, these systems reduce manual labor and increase operational efficiency. AI assistive robotic systems can identify, track, and monitor crop health. Equipped with advanced computer vision, their predictive maintenance capabilities can even assist with farm equipment maintenance. Their ability to operate in challenging environments and provide real-time insights is quickly making them invaluable assets in modern agricultural landscapes.
Agriculture robotic and autonomous car working in smart farm, Future 5G technology with smart agriculture farming concept
Smart irrigation systems are also a key trend in AI-driven agriculture. By continuously monitoring soil moisture and weather data, these systems can dynamically adjust to real-time field conditions. The integration of smart irrigation solutions ensures optimal water usage and AI applications can further analyze soil conditions to forecast potential crop health issues.

Moreover, the implementation of drones can further enhance smart irrigation systems through aerial surveillance of large fields. Equipped with high-res cameras and AI-powered analytics, drones assess irrigation efficiency, detect anomalies in water distribution, and identify areas requiring additional resources. The combination of aerial perspective and ground sensor data creates a fully comprehensive view of field conditions.
An industrial drone on green field. sprays useful pesticides to increase productivity and destroy harmful insects. increase productivity. Modern technologies in agriculture

Navigating AI Challenges and Risks

While AI presents significant opportunities, it also introduces several challenges that must be carefully managed:

Lack of Regulation

The rapid development of AI technologies in agriculture has outpaced the creation of comprehensive regulatory frameworks. This gap can result in inconsistent standards for product performance and safety, making it difficult for farmers and industry stakeholders to navigate the landscape without clear guidelines.

Accuracy Concerns

AI systems rely heavily on high-quality data and robust algorithms. However, any inaccuracies—whether due to data collection errors or algorithmic biases—can lead to erroneous insights. In agriculture, such inaccuracies might result in inefficient resource allocation, mismanaged irrigation systems, or flawed predictions regarding crop health and yield.

Cybersecurity Vulnerabilities

As agriculture becomes increasingly digitized with interconnected IoT devices and AI systems, cybersecurity emerges as a critical concern. Weaknesses in these digital infrastructures can expose farms to data breaches, unauthorized access, and operational disruptions. Ensuring strong cybersecurity measures is essential to protect sensitive agricultural data and maintain trust in these advanced technologies.

Addressing these risks is key to fully harnessing the benefits of AI in agriculture without compromising safety, accuracy, or security.

5 Next-Gen AI Solutions Transforming Agriculture

Next-gen AI solutions are essential for meeting the rising demand for smarter, safer, and more efficient farming practices. There is a wide range of best-in-class AI solutions available at Braemac|Symmetry Electronics that not only deliver high-performance processing and precision sensing but also integrate advanced security measures to address critical risks and challenges.

MediaTek Genio 510 EVK

The MediaTek Genio 510 EVK is a cutting-edge evaluation kit that sets a new standard in edge AI IoT platforms. Tailored for smart home environments, interactive retail, and commercial applications, it offers ultra-responsive edge processing, state-of-the-art multimedia features, and a wide array of connectivity options. Its remarkable balance of cost and performance makes it an optimal choice for devices requiring fanless designs and off-grid power solutions—ensuring reliable operation in modern agricultural settings.

Synaptics Astra™ (SL1680)
At the forefront of the Synaptics Astra™ Machina Foundation Series, the SL1680 is engineered for rapid prototyping across diverse applications. Equipped with a quad-core ARM® Cortex®-A73 CPU, a high-performance multi-TOPS NPU, and robust multimedia accelerators, this system-on-chip excels in both consumer and industrial IoT environments. Its superior graphics processing, accelerated AI capabilities, and integrated security features position it as a premier solution for precision agriculture, ensuring enhanced crop monitoring and resource management.
Gateworks SBC with Hailo Integration
Optimized for high-performance edge AI applications, Gateworks’ single board computer (SBC) paired with Hailo AI processors delivers robust deep learning solutions while maintaining low power consumption. Hailo’s processors serve as high-performance, low-power accelerators and vision processors, engineered to boost embedded deep learning on edge devices. Offered in both M.2 and Mini-PCIe form factors, they integrate seamlessly with Gateworks SBCs, providing exceptional performance across a wide range of applications. Additionally, Gateworks provides a comprehensive integration guide complete with setup instructions and example applications, empowering users to develop tailored AI solutions that precisely meet their specific requirements.
Lantronix Percepxion™ Edge AI
The Lantronix Percepxion™ Edge AI platform is designed to seamlessly integrate pre-configured AI into IoT gateways, routers, and trackers. It facilitates secure, remote management of devices while delivering powerful data integration and real-time monitoring capabilities. With its advanced security protocols, automated provisioning, and comprehensive lifecycle management, Percepxion™ stands as a robust solution for critical infrastructure—including precision agriculture—ensuring both reliability and efficiency in challenging operational environments.

Conclusion

AI is transforming the agricultural industry by enhancing crop growth, reducing waste, and boosting operational efficiency. By integrating advanced AI technologies, we can address critical challenges such as labor shortages and resource mismanagement while paving the way for a more sustainable global food production system.

Collaborative partnerships between tech companies and agricultural stakeholders are vital for innovation and growth. Braemac|Symmetry Electronics is a specialty electronic component distributor with a comprehensive portfolio and unparalleled value-added services. Using us as a development resource empowers industry professionals to adopt and drive cutting-edge AI solutions. The sector is ripe with opportunity for AI-based advancements, setting the stage for a future that is both sustainable and efficient.

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Jari Haiston in Blogs on March 05, 2025

About Jari Haiston

Jari Haiston is part of the growing digital marketing team at Symmetry Electronics. Jari comes from a background in technical writing and event coordination. In her current role, she specializes in content creation and social media management. Jari's focus as a writer is to create interesting content that is accessible to any audience.

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