Autonomous Farm Caretaker System
Project Abstract:
With the increase in global warming, pollution, manufacturing of pesticides and harmful chemical that may affect the crop in long turn, having an automated method to monitor, nurture, collect live real time data set from the field would be a great boon for analyzing and made productive decisions in the given domain.
With this proposal we would try to address challenges and be resilient for analysis of current smart farming and drone farming.
For serving this purpose, we will select appropriate type of drone for the task which will also take care of factors like size and type of the crops, the terrain of the field, and the range and capabilities of the drone.
Project Background:
In the need of era, we will also take care of necessary permits and follow safety regulations for operating a drone in this sector. This will include obtaining a commercial drone operator's license, obtaining permission from the, government and following local laws and regulations.
The flight path must be preplanned using the GPS module to ensure desired area coverage for safety and efficiency. After careful pre-flight, the drone may start real-time navigation for collecting plant data and it will store it on the central server. In the first phase, the data may be fetched for pre-processing as per the application. Now normalized image data will be processed using deep neural networks in case of plant disease detection. This same drone can also collect moisturizer using moisture sensors from all regions of the farm. Then it checks the threshold of moisture for the particular crops if the threshold value is less, the system automatically starts watering a particular region. Like watering pest control and fertilizers can apply.
Sounds modules are being used in drones that generate intensity sounds higher than 30 hz frequency to ward off any creature from farmers property. an 8-liter tank used for storing water and Nozzles are being used for spreading water all over the farm and pesticides fertilizer over the farm. Ultrasonic sensors are often used in drones to help them navigate their environment and avoid obstacles. These sensors work by emitting high-frequency sound waves and measuring the time it takes for the waves to bounce back after hitting an object. By calculating the time delay, the sensor can determine the distance to the object and use this information to adjust the drone's movement accordingly.
Moreover, autonomous capability of this drone to perform tasks without human intervention. Drone is equipped with sensors, processors, and algorithms that enable them to make decision and carry out tasks on their own, using a pre-programmed set of instructions or using artificial intelligence (AI) algorithms to adapt to changing conditions.
By following these steps, agricultural drones can be used for improving crop management and increasing the efficiency of farming operations and other purposes.
Project Features:
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Pesticides and fertilizers can be sprayed
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Autonomous.
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Monitoring of the farm
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Viewing of the farm from a high point of view.
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Preventing interference from and attacks from birds and wild animals
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Easy-to-operate
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Low-cost
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Easy-to-maintain
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The drone has autonomous capabilities.
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Numerous additional benefits.
Project Images:
Project Team Members:
Aaryavardhan Sharma
Krishna monani