IoT-based Autonomous Robot for Smart Farming

The integration of the Internet of Things (IoT) and artificial intelligence (AI) has revolutionized agriculture and smart farming. These advanced technologies have not only improved cognitive processes but also enabled autonomous systems to navigate and communicate intelligently within agricultural environments. The adoption of smart sensor systems, in conjunction with IoT, has modernized traditional farming practices, particularly through AI-driven crop management solutions. This paper explores how a robotic vehicle (robocar), equipped with sensors to detect nitrogen (N), phosphorus (P), potassium (K), soil moisture, and humidity, collects data and transmits it to a cloud server for analysis. One mobility feature of the robot is its ability to navigate fields autonomously using GPS-guided paths. Starting from a designated home location, the robot follows a pre-set route to the field, where its robotic arm automatically collects soil samples for testing. By utilizing sensors that measure water content, soil moisture, and NPK levels, the system assesses soil conditions and sends the data to the IoT server. Based on this information, AI provides recommendations for the most suitable crops for the area. Furthermore, the robot monitors soil properties and alerts the operator to significant changes in the environment or infrastructure. After completing its tasks, the robot uses its navigation capabilities to autonomously return to its home position by activating the ”return home” function.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/elecom63163.2024.10892176
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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article

IoT-based Autonomous Robot for Smart Farming

Md. Abdullah Al Ahasan, M. Alom, A S M Ahsanul Sarkar Akib, Md. Mafizur Rahman et al.
2 citations
Smart Agriculture and AI
1.20
article

IoT-based Autonomous Robot for Smart Farming

Md. Abdullah Al Ahasan, M. Alom, A S M Ahsanul Sarkar Akib, Md. Mafizur Rahman, Salahin Sourov, N.M.Raziul Hassan Rishad, Md Shahin Alam Mozumder, Fatema Jahan Sifa
article en
2 citations

Abstract

The integration of the Internet of Things (IoT) and artificial intelligence (AI) has revolutionized agriculture and smart farming. These advanced technologies have not only improved cognitive processes but also enabled autonomous systems to navigate and communicate intelligently within agricultural environments. The adoption of smart sensor systems, in conjunction with IoT, has modernized traditional farming practices, particularly through AI-driven crop management solutions. This paper explores how a robotic vehicle (robocar), equipped with sensors to detect nitrogen (N), phosphorus (P), potassium (K), soil moisture, and humidity, collects data and transmits it to a cloud server for analysis. One mobility feature of the robot is its ability to navigate fields autonomously using GPS-guided paths. Starting from a designated home location, the robot follows a pre-set route to the field, where its robotic arm automatically collects soil samples for testing. By utilizing sensors that measure water content, soil moisture, and NPK levels, the system assesses soil conditions and sends the data to the IoT server. Based on this information, AI provides recommendations for the most suitable crops for the area. Furthermore, the robot monitors soil properties and alerts the operator to significant changes in the environment or infrastructure. After completing its tasks, the robot uses its navigation capabilities to autonomously return to its home position by activating the ”return home” function.

American International University-Bangladesh (BD), Ahsanullah University of Science and Technology (BD), University of Regina (CA), Independent University, Bangladesh (BD)
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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