Internet of Things (IoT)

Internet of Things (IoT)

Internet of Things (IoT)  

The internet of things, or IoT, is a network of connected computing devices, mechanical and digital machinery, items, animals, or people that may exchange data across a network without requiring human-to-human or human-to-computer interaction.

What is Internet of Things (IoT)  

The term "thing" refers to any natural or artificial object that can be given an Internet Protocol (IP) address and has the ability to transfer data over a network, including people with implanted heart monitors, farm animals with biochip transponders, cars with built-in tire pressure monitors, and other examples.

Organizations across a range of industries are increasingly utilizing IoT to run more smoothly, better understand their consumers to provide better customer service, boost decision-making, and raise the value of the company.

Related; What is Precision Agriculture Technologies

7 Internet of Things (IoT) Solutions For Precision Agriculture - Internet of Things (IoT)  

The question is, how do we do this? Farmers and food producers in the sector need to embrace the digital transformation trends taking place in agriculture. In the future, we can take agriculture to new heights, through the use of technology as a sustainable and scalable resource. These are just a few of the most common and effective ways to use IoT in precision agriculture. Besides being affordable to develop and easy to maintain, these tools also offer a wealth of information.

1. Smart Farming - Internet of Things (IoT)  

Farmers strive to produce enough healthy food to feed the entire world population. Due to the rapidly growing world population, food safety certification is a very important issue to address. Tracking or monitoring soil moisture, storage conditions, self-monitoring and management of control devices or flow rates are necessary applications for agricultural crops.

Sensors are used in IoT-based smart agriculture to monitor crop performance and automate irrigation and flushing. From anywhere, farmers can monitor everything from weather conditions to soil quality. When used in conjunction with a conservative approach, IoT-based smart farming is highly effective.

2. IoT and Sensors in Equipment - Internet of Things (IoT)  

 Similarly, sensors are installed on agricultural equipment to track machine status and more. Tractors and other agricultural equipment are manufactured with navigation systems and a variety of sensors under the term "precision agriculture". Some of these sensors are GPS-enabled, allowing them to compensate for uneven terrain. In the cab of some implements, yield mapping and harvest documentation are built-in features. While others watch when tractors need maintenance, you are on your own. Machine downtime is reduced with these sensors working together.

3. IoT and Sensors in the Field - Internet of Things (IoT)  

It's a good break. Indeed, IoT has enormous potential in the food industry. The Internet of Things (IoT) alone is estimated at $14.4 trillion, according to a Cisco report. Sensors in equipment and materials enable the Internet of Things to simplify and streamline the collection, inspection, and distribution of agricultural resources.

Field sensors, combined with image recognition technology, allow farmers to monitor their crops from anywhere. These sensors send real-time information to farmers, allowing them to adjust crops accordingly. As a result, farmers benefit from IoT sensors being deployed in the field, resulting in increased food production with less waste, which is exactly what this industry demands.

4. Livestock Tracking - Internet of Things (IoT)  

 Drones can monitor cows, bulls and other animals grazing in pastures, reducing the need for humans to do so. Drones can locate lost farm animals, detect injured or sick animals and calculate their exact numbers using thermal sensor technology. It is possible to achieve better livestock monitoring through the use of drones (cows, bulls, etc.). At the same time, they do not stress the animal and provide real-time information to breeders.

5. Drones and Crop Monitoring - Internet of Things (IoT)  

The only way for farmers to get a bird's eye view of their fields is from an airplane. What if farmers could see their crops from the air without having to hire a plane? Imagine the return on investment. To combat drought and other environmental factors, crop-monitoring drones are widely used. To maximize the effectiveness of precision farming technology, crop-monitoring devices are required.

These devices are often placed in the field, where they monitor water levels, crop health, and other biochemical and physical properties relevant to the situation. Using crop monitoring tools, a farmer can proactively manage anomalies, create forecast-based models and strategies, and prevent potentially dangerous diseases.

6. RFID Sensors and Tracking - Internet of Things (IoT)  

RFID sensors can be used to track food from field to store after harvest. This means that the consumer, or end user, will be able to trace the food they eat from their farm of origin to the point where it was purchased. Due to the increased reliability of manufacturers and their responsibility to provide fresh produce, this technology has the potential to increase consumer confidence in manufacturers.

 These tracking systems can allay consumer concerns about allergens and health requirements. It is a relief for the farmer to know that his products are traced. After all, it is your responsibility to ensure that your products reach consumers in a safe condition.

7. Agriculture and Robotics - Internet of Things (IoT)  

Robotics in agriculture would improve productivity and lead to higher and faster yields, just like in other industries that use robots and artificial intelligence.

The use of agrochemicals can be reduced by 90% with the help of robots like the spraying and weeding robots that John Deere recently acquired. Others are experimenting with laser and camera guidance to identify and eliminate weeds without human intervention. These robots can use guidance to navigate between crop rows on their own, reducing the amount of work needed to do this behind the machine.



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