Do you know an average person requires approximately 2000 calories to maintain a healthy lifestyle? Thus, the number keeps on growing day by day as the population is increasing, facing an enormous challenge for agricultural production and resources.
Stable and steady!
That’s the best way to describe AI in agriculture. AI is changing and revolutionizing the way we think about the agricultural industry. The use of AI provides various new and innovative solutions that can help farmers enhance yields, cut expenses, and increase efficiency, from precision farming to crop monitoring. Are you looking for practical applications for AI in agriculture, here are the top 10 ideas on how technology can be used in agriculture.
What Do You Understand by AI?
Artificial Intelligence is a set of technologies that enable computers to perform a variety of advanced functions, that include understanding, analyzing data, ability to see, translating spoken and written language, making recommendations, and more.
The application of AI has attracted the attention of researchers since the early days of AI research. It was first introduced in the 1960s when researchers began to use computer vision and image processing to assess crop photographs.
10 Practical Applications of AI in Agriculture
1. Crop and Soil Monitoring
One of the major issues that arise with crop health is micro and macronutrients in the soil can improve or decrease the quality and quantity of yield. To adjust the growth of the crop, it is necessary to understand the interaction between crop growth and the environment at the time of growth. To find out the soil quality and crop health, human observation can be neither accurate nor timely.
By implementing AI, drone farmers can capture aerial image data and train computer vision models to use this for intelligent monitoring of soil and crop conditions. AI models can inform farmers of specific problem areas so that they can take immediate action.
2. Predictive Maintenance
Using data analytics, machine learning, and other AI approaches, this equipment and system maintenance plan forecasts when equipment is likely to break so that maintenance can be carried out before the failure occurs. Predictive maintenance can be applied to multiple systems and equipment such as irrigation, tractors, harvesters, and other farm machinery.
This can be monitored with the help of drones and then can be implemented in each and every system. Drones can make things better and easy.
3. Terrain Mapping
AI in agriculture can help in terrain mapping that assists businesses in turning simple raw footage or aerial data into actionable business intelligence. It can help in monitoring and counting cattle, scoting acres of farming, inspecting miles of pipelines, or hundreds of utility towers. It can also avoid catastrophic failure and critical problems.
4. Solar Panel Inspection
All over the world, everyone is switching to solar energy to meet their energy needs in a renewable manner. Installing solar panels for agricultural purposes can significantly reduce energy expenses. AI-powered drones here can be used to reduce the time and cost of inspection of solar panels. It helps in detecting the damage and issue in the grid before it jeopardizes the entire system.
5. Climate Impact Analysis
Drones can be helpful in detecting the local weather conditions and their impact on crops. AI can analyze this data to provide insights into how changing climate conditions might affect future yields. With the help of this, the farmers can get the information of this and can prepare all things in advance and can plan accordingly which crop they can focus on growing.
6. Livestock Monitoring
For effective management of livestock, drones are one of the most helpful and widely used by farmers. AI- programmable drones are perfect tools to automate the monitoring of livestock at a fraction of the cost.
These drones can also be used for missing and injured livestock as well as keeping track of the livestock. The drones can be used for identifying pastures across vast swaths of land and can also be pre-programmed to continously track the livestock across the pasture.
7. Crop Spraying
One of the areas where drones are being used in agriculture is crop spraying. The traditional way of doing this includes two methods one, the farmers do it with the help of vehicles and spray the whole field, and another is doing this with the help of airplanes. But both methods can be expensive as compared to the drone one.
Drones today can take huge reservoirs of pesticides or fertilizers approved by the FAA to spray efficiently across the field. This can be cost-effective and safer to manage crop yields and stop pest infection; this also can be used for spot s[raying as well.
8. Seed Planting
It is one of the new technology as compared to the other drone applications in agriculture. Many startup companies are still testing the technologies for more effective and faster seed plantation. The technology is also under testing for the payload of drones in the form of fertilizers, herbicides, water, and tree seed to assess the cost-effectiveness of the technology.
9. Health monitoring
Drones can be used to monitor the health of the crop. These drones are equipped with thermal and infrared sensors that can be used for the real-time imagery analysis of crop health. These drones can instantly assess the chlorophyll content as well as soil fertility through the thermal region of the electromagnetic spectrum.
This can reduce the damage to the crop, money, and work of the farmers to identify what work they have to do to protect their crop day and night.
10. Harvesting
At the time of harvesting, it requires a lot of strength and work by the farmer, but with the help of AI- drone, it can be done very easily and in half the time. The farmers have to take the help of big machines, and they require petrol and heavy machines prices resulting in a large amount of cost. Apart from this, fruits and vegetables are picked one by one and require a lot of time.
Using the AI base drone can be easier, plus in a cost-effective way, farmers can cut the crop. The drones can identify the fruits and vegetables by the sensors and pick them one by one in less time.
How can Emizen Tech help you?
Opting for a proficient app development company can increase the chances of an efficient and successful app. As a leading company, Emizen Tech can help you in the development and integration of AI in your system or apps. With our experienced team of 150+, we ensure you the best outcome and help you in making your dream idea to life.
So, are looking for the perfect solution for drone app development, drone management software, or any other service, the team ensures serving you better than you expect.
Conclusion
Using AI drones can be a futuristic approach in the agricultural industry, and it keeps on growing day by day. Making the AI drone and automated machines will provide multiple useful applications to the sector helping the world deal with the food production issues for the growing population.
Want to know more about the AI- drone app development or implementation in the agricultural industry, wait no more contact us today and get your answers from our experts.
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