IoT has been transforming various aspects of life, and therefore, it is called the next industrial revolution. This revolution is expected to modify the practices that are carried out manually across all industries. Agriculture is one of such industries that has been already affected and is yet to transform in all shapes due to the onset of technological advancement.
In this article, we will discuss how technology is driving change in the agriculture industry and understand if this will bode well for agriculture and people depending on it.
Smart farming is relatively a new term that is described as the incorporation of smart tools and technology to optimize and automate the routine farming process. Some examples of agriculture IoT include agricultural management platforms, supply chain inventory management solutions, GPS services, micro-farming solutions, and agricultural monitoring services.
Before deep diving into details, let’s glance at a quick fact.
The Global Market Size of Smart Agriculture will grow from 12.4 billion USD to 34.1 billion USD by 2026
According to research, more and more agriculture industries are incorporating sophisticated technology and high-end mechanics to improve their productivity and efficiency. As a result, the market value of smart agriculture is expected to touch almost double the 2020s market value by 2026.
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Advantages of Smart Agriculture
Thanks to technology, modern agricultural operations work differently from what they used to be back then. Farmers use robots, aerial images, and temperature and moisture sensors that help them increase profits, efficiency, and safety, and make practices more environment-friendly.
Here are some of the top benefits of deploying technology and using cutting-edge technology in various aspects of agriculture.
Technology has to be credited for the way it has helped farmers to make correct assessments about the climate and weather conditions to choose the right crops instead of wasting their time, effort, and land in experimentation.
The environment and land sensors deployed in the agricultural land collect information and send it to the cloud that can be accessed through an application to analyze the matrix and the ground realities that might not be prevalent.
By automating different processes of farming, such as irrigation, fertilization, and pest control, farmers can boost their productivity and can also maintain accuracy in supplying the right amount of water, pest disinfectant, etc.
As a consequence, the usage of the technology enables farming businesses to scale the parameters of farming on a regular basis and obtain correct, accurate, and useful insights into it.
Control Management & Risk Management
By using IoT backed with advanced AI technology, farming industries can get control over internal processes. They can use the information derived from tools to get a clear view of the prospected yields. For example, AI tools can predict the cultivation ahead of time, which gives farming businesses information about the outcomes at preliminary stages.
In this way, they can plan and get themselves ready well in advance to combat any risks and crises that are most likely to happen. This attribute is of great value for businesses to avoid losses that otherwise come as a surprise.
Sure, IoT enables businesses to keep control of internal processes and help with risk management, but it also helps with high standards pertaining to growth value and quality.
With an accurate and stringent focus on cultivation and distribution, industries can produce products that meet the highest standards. As a result, farmers can expect better ROI (return on Investment).
Controlled production leads to less wastage, allowing farming industries to manage their costs effectively. Getting accurate insights about the different stages of production can help you keep a tap on the quality and quantity of production, enabling you to minimize the risk factor and waste production.
Future Perspectives and Emerging Trends in IoT and Agriculture
The intersection of IoT and agriculture holds immense potential for shaping the future of farming practices and revolutionizing the industry as a whole. As technology continues to advance, several emerging trends are shaping the future of IoT in agriculture.
One of the key trends is the integration of AI and machine learning algorithms with IoT devices. By leveraging the power of artificial intelligence, farmers can extract valuable insights from the vast amounts of data collected by IoT sensors.
This enables them to make data-driven decisions in real time, optimize resource allocation, and improve overall productivity. AI-powered systems can analyze weather patterns, soil conditions, and crop health, providing actionable recommendations for precision farming.
Another significant trend is the adoption of autonomous farming systems. Self-driving tractors and drones equipped with IoT sensors can perform tasks such as planting, spraying, and monitoring crops with minimal human intervention.
These autonomous systems can operate round the clock, increasing efficiency and reducing labor costs. They can also gather detailed information about soil conditions, water levels, and crop growth, enabling farmers to take proactive measures and prevent potential issues.
The emergence of blockchain technology in agriculture is also worth noting. By leveraging distributed ledgers, IoT devices, and smart contracts, blockchain can enhance traceability and transparency in the supply chain.
It can securely record and verify every transaction and movement of agricultural products, from farm to fork. This can help build trust among consumers, reduce food fraud, and ensure the authenticity and quality of agricultural products.
Furthermore, the development of low-power IoT sensors and devices is facilitating the expansion of IoT in remote and resource-constrained areas. These devices can operate on limited battery power, making them suitable for monitoring soil moisture, temperature, and other parameters in areas without reliable electricity supply.
This enables farmers in underserved regions to access real-time data and make informed decisions, leading to improved productivity and sustainability.
The adoption of IoT is significantly increasing across the agriculture sector, and rightly so. The future lies in technology and the time is not too far away when all processes of agriculture will be automated.