Intelligent Embedded Agricultural Robotic System

Intelligent Embedded Agricultural Robotic System support farmers to manage their farmyard.

The intelligent embedded agricultural robotic system is a low cost and efficient microcontroller robot which include;

A soil moisture monitoring system that monitors the moisture content of the soil in the various parts of the field and the measured data to a microcontroller unit which in turn displays the received data on a Liquid Crystal Display to determine when to irrigate or spray the farm field.

An automatic car, which follows a path designed in the field, i.e., a white line on a black surface integrated with a spraying and irrigating mechanism for carrying out agricultural spray and irrigation.

An automatic solar tracking system that tracks the sun’s position for maximum light intensity was used to charge the DC 12V battery which was used to power the robotic system.

A refilling system with an obstacle detection feature was used for refilling water, chemical, or fertilizer spray in the spraying and irrigating tank integrated with the line follower robotic system.

This embedded system is useful for farmers who wish to monitor the soil moisture content of the field, and automate spraying and irrigation purposes at low costs and higher efficiency.

Intelligent Embedded Agricultural Robotic System

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Intelligent Embedded Agricultural Robotic System FAQ

How much do agricultural robots cost?

Price: $130,000 for a team of four robots to purchase. Harvest Automation also rents teams of four for $30K/3 months.

What are the sensors used in agriculture?

The most prominently used modern tools and sensors used in the agriculture sector in India are:
Location Sensors.
Optical Sensors.
Electrochemical sensors.
Mechanical Sensors.
Dielectric soil moisture sensors.
Airflow sensors.

What are the benefits of autonomous robots in agriculture?

Agricultural robots automate slow, repetitive, and dull tasks for farmers, allowing them to focus more on improving overall production yields, which will be vital as the world’s population increases.

What are the advantages of AI in agriculture?

AI brings cost savings: AI can provide farmers with real-time insights from their fields, allowing them to identify areas that need irrigation, fertilization, or pesticide treatment. Also, innovative farming practices like vertical agriculture may help increase food production while minimizing the use of resources.

What is agricultural robotics?

An agricultural robot, also known as an agribot, is a robot designed for use in the agriculture industry. Agribots automate tasks for farmers, boosting the efficiency of production and reducing the industry’s reliance on manual labor.

How IoT can be used in agriculture?

On farms, IoT allows devices across a farm to measure all kinds of data remotely and provide this information to the farmer in real-time. IoT devices can gather information like soil moisture, chemical application, dam levels, and livestock health – as well as monitor fences vehicles, and weather.

How does GPS work in agriculture?

Location information is collected by GPS receivers for mapping field boundaries, roads, irrigation systems, and problem areas in crops such as weeds or disease. GPS allows farmers to accurately navigate to specific locations in the field, year after year, to collect soil samples or monitor crop conditions.

What types of robots are used in agriculture?

Robots Working in Farming and Agriculture
Crop-Harvesting Robots.
Harvest Automation.
Harvest CROO.
Weeding Robots.
Naio Technologies.
Nexus Robotics.
Robotic Greenhouses & Robot Farming.
Iron Ox.

How robots can be used in agricultural fields?

Some of the most common robots in agriculture are used for Harvesting and picking. Weed control. Autonomous mowing, pruning, seeding, spraying, and thinning.


Ph.D. in Information Technology (Candidate), Master of Science in Information Technology. Skilled in Cyber Security, Artificial Intelligence, Machine Learning, Deep Learning, IoT, and 6G Communication, I can apply the skills acquired through my studies and working experience to provide viable solutions/contributions to research and development (R&D).

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