As the need for food grows agriculture is adapting rapidly and, at the same time, addressing climate change, water shortages and labour pressures. Using IoT sensors in agriculture enhances efficiency, optimises resource management and supports food safety.
What is IoT in agriculture?
Agricutlure IoT involves using sensors, connected equipment, software and data science to continuously track and regulate the farming processes. These devices gather data on soil, weather, crop health, animal behaviour and much more, which farmers can monitor and use remotely. Farmers can also automate operations, make informed decisions and utilise the resources of water, fertilisers, pesticides and so on through IoT. The global IoT in agriculture market was valued at approximately US$13.73 billion in 2023, and it’s projected to grow to US$22.65 billion by 2028, with a compound annual growth rate (CAGR) of 10.7%. The rapid adoption of precision farming, livestock monitoring and smart greenhouse solutions are key drivers behind this growth.
IoT technology in agriculture relies on several components, including:
- Smart sensors: These devices collect data on soil moisture, temperature, humidity and nutrient levels.
- Cloud computing: A central platform where data from sensors is stored, processed and analysed.
- Data analytics and AI: Advanced algorithms analyse data and provide insights to farmers on optimal practices.
- Automation systems: Devices and machinery that can perform actions based on real-time data, such as automated irrigation systems.
- Wireless connectivity: IoT devices communicate with each other and central systems via wireless networks, such as Wi-Fi, cellular and LoRaWAN.
Key applications of IoT in agriculture
There are many IoT applications in the agriculture industry. Here are some of the most significant ways in which IoT is being applied to change farming:
- Precision farming
Precision agriculture is the process of employing IoT tools that track and maximise yields by regulating water, fertilisers and pesticides according to information. There are smart sensors in the fields that can measure moisture, soil quality and temperature. This real-time data enables farmers to place just the right amount of water or fertiliser in their crops, making them more efficient and economical. Precision farming is the largest segment in IoT applications within agriculture. In 2022, it accounted for a market share of US$7.83 billion.
Example: A farmer using an IoT-enabled irrigation system can schedule watering sessions based on the moisture content of the soil, avoiding over- or under-watering, which can harm crop yields.
- Livestock monitoring
Farmers can use IoT systems to remotely check the health and behaviour of animals. Sensors attached animals will monitor vital signs, exercise levels and where they are. This information helps to spot diseases early, decrease mortality and makes overall livestock management simpler.
Example: GPS-tracking smart collars help ranchers find animals in big open fields, and health monitoring sensors let farmers know if an animal is sick so that treatment can be administered early.
- Smart greenhouses
IoT technology facilitates the remote control and automation of greenhouses and creates ideal conditions for plants to grow. Sensors detect temperature, humidity and light. Automated systems can then calibrate conditions by opening windows, operating fans or regulating irrigation.
Example: An IoT-powered greenhouse can automatically vent when temperatures rise beyond the threshold so plants have a stable growing environment.
- Drone-based crop monitoring
Cameras and sensors in drones allow to take aerial pictures of the fields and provide farmers with real-time updates on crop health. These drones can detect plant disease, pests or nutrient deficiencies not easily seen from the ground, and allow farmers to intervene.
Example: A drone can hover over a cornfield collecting information about areas where plants are growing poorly. This allows the farmer to put fertilisers or insecticides just where they are needed.
- Automated farm equipment
IoT-enabled tractors and harvesters can operate autonomously without having to be manned by humans. These machines can also be programmed to perform ploughing, seeding and harvesting according to GPS data and routes.
Example: An IoT-connected GPS-equipped tractor can plough farms on its own — using fewer workers and gaining productivity.
- Supply chain optimisation
Crops and products can be traced from the farm to the consumer through IoT, providing traceability and visibility into the supply chain. It can even keep track of produce in transit and storage to make sure that it’s delivered to the consumer in top condition.
Example: Shipping container temperature sensors monitor and control the temperature of goods such as fruits and vegetables to reduce spoilage.
Benefits of IoT in agriculture
IoT in agriculture offers numerous benefits, making farming more efficient, profitable and sustainable:
- Increased productivity: By automating processes and providing real-time data, IoT helps farmers increase crop yields and livestock output.
- Resource optimisation: IoT allows precise use of resources like water, fertilisers and pesticides, reducing waste and costs.
- Sustainability: IoT promotes eco-friendly farming practices by reducing water consumption, minimising chemical use and lowering carbon emissions.
- Improved decision-making: Data-driven insights enable farmers to make informed decisions, leading to better crop management and risk mitigation.
- Labour savings: Automated systems reduce the need for manual labour, which is particularly valuable in regions facing labour shortages.
- Enhanced food security: By improving efficiency and productivity, IoT contributes to meeting the growing global demand for food.
Challenges of IoT in agriculture
While IoT offers many advantages, some barriers still need to be overcome before it can be widely adopted in agriculture:
- High initial costs: The setup of IoT systems requires a significant investment in sensors, devices and infrastructure, which may be prohibitive for small-scale farmers.
- Connectivity issues: Many rural areas, where farms are typically located, lack reliable internet connectivity, limiting the deployment of IoT devices.
- Data management: Handling and analysing vast amounts of data can be overwhelming, and farmers may need training to interpret insights effectively.
- Security concerns: IoT devices are vulnerable to cyber-attacks, making data security a top concern for farmers who rely on connected devices.
- Technological barriers: The complexity of IoT systems may be a deterrent for farmers who are not tech-savvy, requiring user-friendly interfaces and support services.
The future of IoT in agriculture
IoT in agriculture has a bright future, with developments continually pushing the limit of the possible. There are a number of trends that will influence the future of smart farming:
- 5G connectivity: The rollout of 5G networks will significantly improve IoT connectivity in rural areas, enabling faster data transmission and more reliable real-time monitoring.
- AI and machine learning integration: As artificial intelligence and machine learning algorithms become more advanced, they will further enhance IoT systems, allowing predictive analytics and more accurate decision-making.
- Robotics in agriculture: Autonomous robots, guided by IoT sensors and AI, will become more common, handling tasks like planting, weeding and harvesting with precision and minimal human intervention.
- Blockchain for food traceability: Blockchain technology will improve transparency and traceability in the food supply chain, allowing consumers to verify the origin and quality of their food products.
- Sustainable agriculture: IoT will continue to play a role in promoting sustainable agriculture practices, helping farmers reduce their environmental impact while increasing productivity.
The agricultural IoT market is projected to grow to reach US$84.5 billion by 2031, growing at 12.6% CAGR from 2021 to 2031. This is an expansion that is driven by increasing automation and real-time data analytics in agriculture.
The use of IoT for agriculture is helping with the production, management and distribution of food. Whether it’s for precision agriculture, animal monitoring or automated machinery, IoT has potential to support farms become more efficient, sustainable and profitable. With the rise of the technology, IoT will certainly be part of the future of modern farming that would help to maintain food security as well as serve the needs of ever-expanding global population.
Agricultural businesses are making a huge leap in a smarter, more connected and more sustainable future with IoT.
Article by Magda Dąbrowska, editor at WeKnow Media
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