ArticlePloS one2024
A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Drying kinetics, power consumption, economic and environmental analysis of pomegranate peels drying using a hybrid solar dryer compared with oven dryer.Scientific reports · 2026Article
- Research on sugarcane stem counting method based on improved RT-DETR-seg.Frontiers in plant science · 2026Article
- Development, performance evaluation and prediction of optimal operational conditions for a double-row sugarcane harvester using deep learning.Scientific reports · 2025Article
- Effect of different levels of operating pressure and drying temperature on thin layer modeling and drying costs of mint leaves.Scientific reports · 2025Article
- Influence of physical shape and salting on tomato drying performance using mixed mode solar and open-air methods in semi-cloudy weather.Scientific reports · 2025Article
- Drying characteristics, environmental and economic analysis of a solar dryer with evacuated tube solar collector for drying Nile Tilapia slices.Scientific reports · 2025Article
- Thin-layer modeling, drying parameters, and techno-enviro-economic analysis of a solar dried salted tilapia fish fillets.Scientific reports · 2025Article
- Development and laboratory evaluation of a novel IoT-based electric-driven metering system for high precision garlic planter.PloS one · 2025Article
- Optimized design and performance evaluation of a highly precise variable rate mis-planting and replanting potato electronic-metering mechanism.Frontiers in plant science · 2025Article
- Assessment of a LPG hybrid solar dryer assisted with smart air circulation system for drying basil leaves.Scientific reports · 2024Article
- Advanced design and Engi-economical evaluation of an automatic sugarcane seed cutting machine based RGB color sensor.PloS one · 2024Article
- Drying kinetics and thermo-environmental analysis of a PV-operated tracking indirect solar dryer for tomato slices.PloS one · 2024Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Egypt is among the world's largest producers of sugarcane. This crop is of great economic importance in the country, as it serves as a primary source of sugar, a vital strategic material. The pre-cutting planting mode is the most used technique for cultivating sugarcane in Egypt. However, this method is plagued by several issues that adversely affect the quality of the crop. A proposed solution to these problems is the implementation of a sugarcane-seed-cutting device, which incorporates automatic identification technology for optimal efficiency. The aim is to enhance the cutting quality and efficiency of the pre-cutting planting mode of sugarcane. The developed machine consists of a feeding system, a node scanning and detection system, a node cutting system, a sugarcane seed counting and monitoring system, and a control system. The current research aims to study the pulse widths (PW) of three-color channels (R, G, and B) of the RGB color sensors under laboratory conditions. The output PW of red, green, and blue channel values were recorded at three color types for hand-colored nodes [black, red, and blue], three speeds of the feeding system [7.5 m/min, 5 m/min, and 4.3 m/min], three installing heights of the RGB color sensors [2.0 cm, 3.0 cm, and 4.0 cm], and three widths of the colored line [10.0 mm, 7.0 mm, and 3.0 mm]. The laboratory test results s to identify hand-colored sugarcane nodes showed that the recognition rate ranged from 95% to 100% and the average scanning time ranged from 1.0 s to 1.75 s. The capacity of the developed machine ranged up to 1200 seeds per hour. The highest performance of the developed machine was 100% when using hand-colored sugarcane stalks with a 10 mm blue color line and installing the RGB color sensor at 2.0 cm in height, as well as increasing the speed of the feeding system to 7.5 m/min. The use of IoT and RGB color sensors has made it possible to get analytical indicators like those achieved with other automatic systems for cutting sugar cane seeds without requiring the use of computers or expensive, fast industrial cameras for image processing.
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