IoT-Enabled Smart Robot for Efficient Banana Harvesting and Quality Assessment

Bananas, the world’s most traded fruit, rank as the fourth most essential food crop after rice, wheat, and corn. Despite their economic significance, banana harvesting remains labor-intensive. To address this challenge, a remote-controlled robotic system has been developed to enhance efficiency. To improve efficiency, a new remote-controlled robot has been developed to detect the foul smell and cutting the banana stalk with the sharp blades, equipped with an Uno microcontroller, Wi-Fi camera, and five motors. It autonomously navigates plantations to identify and harvest ripe. It is a Bluetooth enabled device which is totally based on internet of things (IoT) and With gear motors, the cutting blades are adjustable to the height of the banana stalk, enabling precise cuts for plants of varying heights. The model surpasses existing limitations by integrating full IoT-enabled real-time monitoring, image-based and gas sensor ripeness detection, cost-effective optimized hardware, adaptability to real plantations, and a remote-controlled mechanism with adjustable cutting height, making banana harvesting more efficient, accurate, and scalable. This innovation aims to reduce labor costs and enhance the efficiency of banana collection.

Authors

Institutions

Publication Details

Published
2025-03-06
DOI
https://doi.org/10.1109/icoeca66273.2025.00067
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-Enabled Smart Robot for Efficient Banana Harvesting and Quality Assessment

J. Rajeswari, J. Praveen, B. Dhivya Dharshini, M Chandru et al.
1 links
Smart Agriculture and AI
article

IoT-Enabled Smart Robot for Efficient Banana Harvesting and Quality Assessment

J. Rajeswari, J. Praveen, B. Dhivya Dharshini, M Chandru, J. Mothiga Shivani, K. Adhish
article en

Abstract

Bananas, the world’s most traded fruit, rank as the fourth most essential food crop after rice, wheat, and corn. Despite their economic significance, banana harvesting remains labor-intensive. To address this challenge, a remote-controlled robotic system has been developed to enhance efficiency. To improve efficiency, a new remote-controlled robot has been developed to detect the foul smell and cutting the banana stalk with the sharp blades, equipped with an Uno microcontroller, Wi-Fi camera, and five motors. It autonomously navigates plantations to identify and harvest ripe. It is a Bluetooth enabled device which is totally based on internet of things (IoT) and With gear motors, the cutting blades are adjustable to the height of the banana stalk, enabling precise cuts for plants of varying heights. The model surpasses existing limitations by integrating full IoT-enabled real-time monitoring, image-based and gas sensor ripeness detection, cost-effective optimized hardware, adaptability to real plantations, and a remote-controlled mechanism with adjustable cutting height, making banana harvesting more efficient, accurate, and scalable. This innovation aims to reduce labor costs and enhance the efficiency of banana collection.

Madurai Medical College (IN), American College, Madurai (IN), Velammal Medical College Hospital and Research Institute (IN)
Openalex Percentile: Top 85%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IoT-Enabled Smart Robot for Efficient Banana Harvesting and Quality Assessment — J. Rajeswari, J. Praveen, et al. · (2025) | TGRS Research Map | TGRS