Eden brings you embedded AI on a cloudless platform
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Ola Brising

Lead Editor at IoE Corp
Published - 03/24/2023|Reading time - 5 min 09 sec

To cultivate healthier crops, manage pests, monitor soil and growing conditions, and analyze data for farmers, Artificial Intelligence (AI) has been extensively applied in farming recently. Agriculture companies can now enter Industry 4.0 as market leaders and pioneers with IoE Corp.

Agriculture is one of the world's oldest and most important industries. The world's population is rapidly growing, increasing the demand for food and employment. As a result, new automated methods are being introduced to meet food requirements because traditional methods used by farmers are insufficient to meet these requirements while also providing employment opportunities to billions worldwide.

Farmers are forced to seek new solutions due to labor shortages, stricter legislation, an increasing global population, and a declining number of farmers. Technologies such as the Internet of Things (IoT), Big Data & Analytics, AI & Embedded AI, and Machine Learning (ML) make inroads into almost every industry. Efforts and research are underway to improve the quality and quantity of agricultural products by making them "connected" and "intelligent" through smart farming.

According to the Info-Tech Research Group report Tech Trends 2023, AI will receive the most net-new investment by organizations by the end of 2023. While 35% of organizations say they have already invested in it, 44% say they plan to invest next year. With a 9% change between committed and planned investments, AI leads all technologies, followed by data lake at 5% and data mesh at 5%.

Embedded AI for agriculture

For agriculture and farming, AI, especially embedded AI, can be useful in several ways. It can be used to develop precision farming techniques that optimize crop yields by identifying the optimal time to plant, fertilize, irrigate, and harvest crops, thereby helping farmers to maximize their profits while minimizing waste.

When it comes to soil and water management, embedded AI can monitor soil moisture levels, nutrient content, and water usage, which helps farmers reduce water waste and fertilizer use. This can also help protect the environment by reducing the runoff that enters local waterways.

As if this isn't enough good news, embedded AI can identify crop diseases before they spread, allowing farmers to take proactive measures to contain them, which helps reduce the use of pesticides and other chemicals that can be harmful to the environment and human health. It can be used to monitor the health and behavior of livestock, which can help farmers to identify and treat illnesses early. This can also help to prevent the spread of diseases and improve the overall welfare of the animals. Healthier livestock equates to a higher quality meat product and more of it.

Autonomous farming is another area where embedded AI can revolutionize farming. Autonomous farming involves using machines equipped with AI and other advanced technologies to perform planting, irrigation, and harvesting tasks. With embedded AI, farmers can automate various farming tasks, reducing the need for human intervention, saving time and labor costs, and increasing efficiency. This also allows farmers to focus on more critical tasks, such as analyzing data and making strategic decisions.

Government and Private Sector Initiatives

Governments, non-governmental organizations (NGOs), and private sector organizations increasingly recognize the potential of smart farming and autonomous agriculture to address the agriculture industry's challenges. They provide funding, training, and technical support to help farmers adopt these technologies.

For example, the European Union (EU) has launched several initiatives to promote smart farming and autonomous agriculture. The Horizon 2020 program has provided funding for research and innovation in the agriculture sector. The Common Agricultural Policy (CAP) includes measures to support adopting precision agriculture and agroecology practices. In the United States, the Department of Agriculture (USDA) has launched the Precision Agriculture Initiative to promote precision agriculture technologies such as sensors, drones, and GPS tracking. The USDA provides funding and technical assistance to help farmers adopt these technologies.

Private sector organizations, like IoE Corp, also invest in smart farming and autonomous agriculture, developing and commercializing technologies that use embedded AI to optimize crop yields, reduce costs, and improve sustainability. And at the same time, IoE Corp guarantees customers security much more valuable than complex cybersecurity systems, namely security beyond cyber.

IoE Corp's Eden - a decentralized solution

IoE Corp has developed the Eden system, which actuates IoT's challenges with cloud service providers. Decentralization provides massive IoT deployments with a network that uses the existing tech infrastructure to store, manage, process, analyze, and deliver data generation on-premises.

Eden mitigates the issues centralized solutions are incapable of solving. As decentralized solutions work on-premises, latency and bandwidth bottlenecks are not a problem. Data does not need to be moved through digital highways to reach data centers and then move back again.

A hacker cannot break into Eden through the World Wide Web (WWW) since Eden isn't connected to WWW. In the same way, as WWW is a layer (or a platform) on the core internet, Eden is a separate platform. And even if cyberterrorists or government-funded cybercriminals could access the Eden system, there is no single central point for them to attack since Eden is a decentralized network that uses blockchain technology.

If an attack takes control of a single device, the rest of the network is alerted of that device malfunctioning. The entire network, via consensus and manifests, will confirm the deviation of the infected device and ignore it. The network can continue working properly because, with the blockchain, workloads get distributed through all the nodes (devices, sensors, and machines), and crucial data is spread out over the network. Other nodes can handle the assigned tasks of the infected node until it is repaired. The same thing happens when there is a hardware malfunction.

Another security advantage of Eden is data ownership. Keeping data on-premises eliminates third-party actors taking control of the data generated.

A leap into the future

IoE Corp is ready to deploy the Eden system to optimize IoT and embedded AI for sustainable development. To access this breakthrough, stakeholders in the Agriculture industry can take advantage of IoE Corp's Planet Partner Program.

Leap into a more sustainable and secure future of embedded AI. Enter Industry 4.0 as a market leader and pioneer the way forward by applying to IoE Corp's Planet Partner Program.

Read more: https://ioecorp.com/

To become an IoE Corp partner, apply at: https://partners.ioecorp.com/apply-partner

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