Due to the growing popularity of the Internet of Things (IoT) in Agriculture, connected devices have invaded every aspect of our lives, from smart cities and industrial IoT to health and fitness, home automation, automotive, and logistics.
It follows that IoT, linked devices, and automation will be used in agriculture and so greatly enhance nearly every element of it. In an age where self-driving cars and virtual reality are more normal than science fiction, how could humans still employ horses and plows?
Agriculture has seen several technological developments over the past few decades that have increased its industrialization and reliance on technology. By utilizing several smart agricultural instruments, farmers have increased control over the production of livestock and crop growth, making it more predictable and efficient.
On the other side, the application of IoT technologies in agriculture is commonly referred to as “smart agriculture.” So, what exactly is IoT-enabled smart agriculture? The deployment of IoT sensors by farmers will enable them to better manage anything from rearing livestock to cultivating crops by gathering environmental and machine characteristics.
Farmers may, for instance, employ smart agriculture sensors to track the health of crops to decide precisely how many pesticides and fertilizers they need to apply to achieve optimal efficiency. The term “smart farming” still applies.
The market is continuously expanding, therefore there are still many prospects for businesses that are keen to participate. Making IoT products for agriculture can make you stand out as an early adopter in the next years, paving the way for success.
IoT sensors and IoT applications for agriculture typically take a wide range of shapes:
1: Keeping Track Of The Climate
The most well-liked smart agriculture technology is probably weather stations with a variety of smart farming sensors. They collect various environmental data while dispersed over the area and then upload it to the cloud. The measurements made available can be used to map the climate, choose appropriate crops, and make the necessary corrections (i.e., precision farming).
2: Technology In Greenhouses
Farmers frequently need to manually intervene in the greenhouse environment. Thanks to the usage of IoT sensors, they can get exact real-time information on greenhouse aspects like lighting, temperature, soil quality, and humidity.
In addition to gathering environmental data, weather stations can change the environment on their own to reflect the stated criteria. Automation solutions specifically for greenhouses work on a similar principle.
3: Administration Of Crops
A further IoT product category in agriculture and a part of precision farming is crop management tools. Similar to weather stations, they should be placed in the field to collect data on crop farming, such as temperature and precipitation, as well as leaf water potential and overall crop health.
By successfully preventing any illnesses or pests that could lower your crop’s yield, you can also monitor your crop’s growth and any anomalies. Excellent illustrations of how this use case might be applied in practice are Arable and Semios.
4: Cattle Management And Monitoring
In the same way that crop monitoring uses IoT agricultural sensors, farm animals may also have their performance and health monitored. With the use of livestock tracking and monitoring, information is acquired about the state, location, and well-being of animals.
To prevent infection, farmers can remove sick animals from the herd using these sensors, for example. Drones can track animals in real-time, saving farmers labor expenditures. These functions are like IoT pet care devices.
5: Precision Farming
Precision agriculture, which is another name for precision farming, is all about efficiency and making exact data-driven judgments. It’s also among the most well-liked and productive IoT applications in agriculture.
IoT sensors can be used by farmers to collect data on a wide range of variables, including illumination, temperature, soil quality, humidity, CO2 levels, and pest infestations. Farmers may reduce expenses and grow better, healthier crops with the use of this information, which helps them estimate the water, fertilizer, and pesticide needs of their crops more precisely.
For instance, CropX develops Internet of Things (IoT) soil sensors that measure the soil’s temperature, electric conductivity, and moisture content. This enables farmers to adjust their methods to the unique needs of each crop. When paired with GIS data, this technique makes it easier to create precise soil maps for each farm. Motive offers comparable services to farmers, helping them cut waste, boost yields, and enhance farm sustainability.
6: Agriculture Employs Drones
One of the most intriguing advancements in Agri tech is undoubtedly the usage of agricultural drones in smart farming. Drones, also known as unmanned aerial vehicles, or UAVs, are more efficient than satellites and aircraft for gathering agricultural data. Drones can do a variety of tasks that formerly required human labor, such as planting crops, removing pests and illnesses, spraying for agriculture, monitoring crops, etc. In addition to surveillance, drones are also capable of performing a wide range of tasks.
DroneSeed, for instance, builds drones to plant trees in poorly forested areas. Six times more can be accomplished with drone utilization than with human effort. A cost-effective agriculture drone, the Sense Fly eBee SQ, uses multispectral image analysis to assess the health of the crops.
7: Predictive Analytics In Smart Agriculture
Precision agriculture and predictive data analytics go hand in hand. IoT and smart sensor technologies may be a gold mine for very pertinent real-time data, but employing data analytics enables farmers to make sense of it and make important forecasts, such as when to harvest crops, the possibility of illnesses and pests, yield volume, etc. With the help of data analytics technologies, farming, which is inherently very dependent on the weather, is made more regulated and predictable.
For instance, farmers can obtain crop volume and quality as well as their vulnerability to unfavorable weather circumstances like floods and drought in advance thanks to the Crop Performance platform. Additionally, it enables farmers to select yield features to enhance crop quality and optimize the distribution of water and fertilizer.
When used in agriculture, tools like SoilScout assist farmers to save up to 50% on irrigation water, reduce nutrient loss from overwatering, and provide actionable information no matter the season or weather.
8: Programs For Total Farm Management
A more sophisticated approach to IoT goods in agriculture could be illustrated by the so-called agricultural productivity management systems. They frequently include a variety of on-site sensors and IoT devices for farming in addition to a powerful dashboard with analytical capabilities and integrated accounting and reporting features.