IOT for Smart farmin

 

IOT FOR SMART FARMING - Blog

 

Name: Kanchan Dhanwant

Dept&div: IC – A

Batch – 3

Roll no.: 55

Gr no. : 11910687

 

What is IOT

Ø The Internet of Things (IoT) refers to a system of interrelated, internet-connected objects that are able to collect and transfer data over a wireless network without human intervention.

Ø IoT makes the devices smarter by giving them the ability to send data over the internet, allowing the device to communicate with people and other IoT-enabled things.

Ø EX. The connected smart home is a good example of IoT in action. Internet-enabled doorbells, smoke detectors and security alarms create a connected hub where data is shared between physical devices and users can remotely control the things in that hub i.e., adjusting temperature settings, unlocking doors, etc via a mobile app or website. 

                                      

How IoT entered the Farming sector?

  

The Internet of Things has made smart farming possible. With the introduction of industrial IoT in farming, modern-day sensors are now available for use. These sensors are connected to the cloud via a cellular/satellite network. This system helps us to obtain live and real-time data and make effective decisions.

The application of IoT has helped the farmers in a lot of activities such as monitoring the water levels in tanks. This all is done in real-time which increases the efficiency of the whole process of irrigation. One more thing that has been made possible with the advancement of IoT technology is the tracking of seed-growth. Farmers can now track the consumption of resources and the time taken by a seed to fully grow into a plant. 

 

                                                      

            When we talk about IoT-based smart farming, we are looking at a system built to monitor the crop field with the help of sensors. The combination of data coming from diverse sensors allows farmers to build crop models and predict how crops will grow in the given conditions, integrate precision farming practices, create harvesting strategies, etc. Sensors used in farming are Gyroscope and image sensors, Moisture and temperature sensor

The IoT-based smart farming not only helps in modernizing the conventional farming methods but also targets other agriculture methods like organic farming and enhances highly transparent farming. 

 

Applications of IOT in farming

Ø Climate Monitoring: With the IoT, you can monitor real-time weather conditions. You can install sensors inside and outside of your fields. Then, these sensors collect data from the environment about the area’s rainfall, humidity and temperatures. If anything unusual appears in the data, the system sends you an automatic alert so that you can respond to the changes.

Ø Data Analytics: With an IoT platform, you can get cloud-based data storage to hold all of the data your system generates. By collecting data on a large scale, you can use to it create meaningful analyses of livestock, crop or weather conditions. Then, this data lets you improve the quality of your products and the fertility of your land.

Ø Smart Greenhouses: The IoT can be added to greenhouses to create weather stations and enable automated adjustments. When climate conditions change, the IoT can automatically adjust without human intervention. Plus, sensors can help you monitor things like water consumption and light levels.

Ø  Agricultural Drones: With the IoT, you can use aerial and ground drones to monitor things like planting, crop spraying, crop health and crop monitoring. After they are installed, sensors can monitor how healthy your crops are after they have started growing. Smart drones can reduce the number of chemicals that make it into the groundwater, so you can reduce your impact on the environment. In the future, the farming industry will be able to adopt even more IoT devices and techniques. Satellites and better cellular networks will make it possible to use the IoT in more operations than ever before. The impact of the IoT in farming is significant for an industry that operates on low margins.

Ø  Computer imaging: This form of imaging mainly involves using the sensor cameras that are placed in various corners of the farm to generate images that go through digital image processing. 

§  Quality control - Image processing combined with machine learning makes use of images from the database to compare with images of crops for concluding the size, shape, color, and growth, as a result, adjusting the quality.

§  Sorting and grading - Computer imaging can aid in sorting and grading the produce on the basis of the color, shape and size.

§  Irrigation Monitoring - Irrigation over a period of time helps in mapping of irrigated lands. This helps in taking the decision in the pre harvest season of harvesting or not harvesting.

 

Benefits of IOT in farming

Ø Minimize human effort

Ø Save time

Ø Enhance Data Collection

 

Cons of IOT in Farming

As the Internet of things facilitates a set of benefits, it also creates a significant set of challenges. Some of the IoT challenges are given below:

Ø Security

Ø Privacy

Ø Complexity