Development and performance evaluation of a manually operated onions grading machine

Umani, Kingsley Charles; Markson, Idorenyin

doi:10.1016/j.jafr.2020.100070

Cited by 5 publications

(16 citation statements)

References 2 publications

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“…From the experiments, it was observed that the optimum inclination of grader was at 7% that provides legitimate grading at suitable outlet sections additionally increasing the efficiency. This trend was also observed in the grading of onions by Umani and Markson (2020). The result of the analysis of variance (ANOVA) is presented in Table 5.…”

Section: Resultssupporting

confidence: 72%

“…It is a maximum measure that the machine can produce by performing its intended action. The capacity of the machine is the ratio of the weight of the sample (kg) to the time taken for sorting and grading (hr) and was determined using Equation (9) as stated by Umani and Markson (2020),

Capacity goodbreak= \frac{W_{f}}{T},

where W f represents the weight of fruits taken in kg and T represents the time taken for sorting and grading in hr.…”

Section: Methodsmentioning

confidence: 99%

“…Always, grading results in obtaining the best quality fruits which are always preferred by the consumer and in turn its market value (Ashraf, Sabir, Ahmad, & Yasin, 2007). Fruits of larger size and good quality are often transported/exported to different places for their higher demand (Umani & Markson, 2020). Additionally, good-quality fruits bid high selling price and also hike the profit to the farmers and satisfaction to the consumers.…”

Section: Introductionmentioning

confidence: 99%

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Development of a farmer‐friendly portable color sorter cum grader for tomatoes

Rajkumar

Abinaya

Deepa

et al. 2021

J Food Process Engineering

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Tomato (Solanum lycopersicum) is a major horticulture crop grown worldwide. The ripened tomatoes are excellent source of antioxidants. On the other hand, the transportation of ripened tomatoes to long distances is a challenging task. However, the unripe tomatoes are opted for long-distance transportation because of their extended shelf-life.A sensor was developed with an efficient color sorting program using integrated circuits along with a divergent rolling grader. The developed color sorter cum size grader works on the principle of energetic reflection based on measuring the intensity of light and it comprises feed hopper, chain conveyor, belt conveyor, three color sensor (TCS3200), collecting ducts, inlet hopper, grader, outlet section, and collecting trays. Developed machine was operated by a single-phase 2 hp motor. The performance of the developed machine was analyzed by measuring capacity, sorting efficiency, overall grading efficiency, and skin damage. Based on the performance evaluation, the maximum sorting efficiency and overall grading efficiency obtained were 94. 5% and 94.1, 94.1, and 94.6% for ripe and unripe fruits, respectively. Practical ApplicationsTomato is one of the important commodities, fetching highly fluctuating market values. Color sorting and size grading are very much needed at the field level to overcome human drudgery and to enhance the market value. In this context, a portable color sensor cum grader has been developed, which can be used by the farmers/ traders to get higher prices in the market. The capacity of newly developed equipment was approximately 40 kg/hr. The cost of operation of color sorting cum grading equipment was Rs. 3/kg of tomatoes.

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Section: Resultssupporting

confidence: 72%

Capacity goodbreak= \frac{W_{f}}{T},

where W f represents the weight of fruits taken in kg and T represents the time taken for sorting and grading in hr.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a farmer‐friendly portable color sorter cum grader for tomatoes

Rajkumar

Abinaya

Deepa

et al. 2021

J Food Process Engineering

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“…Then values of x and y coordinates changes due to the arrival of the square. The color of a good onion is only red so from this method we found a good onion [10].…”

Section: Results Of Healthy Samplesmentioning

confidence: 74%

“…Grading of bulbs is carried out on the basis of size and shape for better economic gain [9]. A manually operated sorting machine has been developed in [10]- [12] to achieve minimum injury to onions and reported grading efficiency is of 80% [10]. But in existing process, farmer's faced certain problems like low productivity, increased labor cost and this process doesn't remove the complete rotten onion in that lot.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of smart machine for sorting of deceased onions

Kokate¹,

Ashok²,

Jagdish³

2022

IJEECS

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Today, we are thinking to raise Farmer’s income through various means and measures. Implementation of new crop patterns, technology inclusion and promoting the eshtablishment of numerous agro processing industries will play a major role in agriculture sector. The labour issue is also one of the main concerns in many of the agricultural activities. In this paper we propose a technological evolvement in onion detection process, where we apply image processing and sensory mechanism to identify sprouted and rotten onions respectively. This will yield to quick, accurate and prompt supply of goods to the market, irrespective of lack of consistent but costly manpower. The efficiency of this prototype in identifying the sprouted onions with the help of camera is observed to be upto 87% and also the response of Gas sensing system in detecting rooten onions under prescribed chamber dimensions is analysed and obtained encouraging results.

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Design and Experimentation of a Machine Vision-Based Cucumber Quality Grader

Liu,

Zhang,

et al. 2024

Foods

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The North China type cucumber, characterized by its dense spines and top flowers, is susceptible to damage during the grading process, affecting its market value. Moreover, traditional manual grading methods are time-consuming and labor-intensive. To address these issues, this paper proposes a cucumber quality grader based on machine vision and deep learning. In the electromechanical aspect, a novel fixed tray type grading mechanism is designed to prevent damage to the vulnerable North China type cucumbers during the grading process. In the vision grading algorithm, a new convolutional neural network is introduced named MassNet, capable of predicting cucumber mass using only a top-view image. After obtaining the cucumber mass prediction, mass grading is achieved. Experimental validation includes assessing the electromechanical performance of the grader, comparing MassNet with different models in predicting cucumber mass, and evaluating the online grading performance of the integrated algorithm. Experimental results indicate that the designed cucumber quality grader achieves a maximum capacity of 2.3 t/hr. In comparison with AlexNet, MobileNet, and ResNet, MassNet demonstrates superior cucumber mass prediction, with a MAPE of 3.9% and RMSE of 6.7 g. In online mass grading experiments, the grading efficiency of the cucumber quality grader reaches 93%.

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Development and performance evaluation of a manually operated onions grading machine

Cited by 5 publications

References 2 publications

Development of a farmer‐friendly portable color sorter cum grader for tomatoes

Development of a farmer‐friendly portable color sorter cum grader for tomatoes

Development of smart machine for sorting of deceased onions

Design and Experimentation of a Machine Vision-Based Cucumber Quality Grader

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