Apple’s In-Field Grading and Sorting Technology: A Review
Smart Agriculture (Singapore), ISSN: 2731-3484, Vol: 6, Page: 81-104
2023
- 3Citations
- 5Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Quality inspection is crucial to raise people’s living standards in the realm of processing fruits and vegetables. Since apples are one of the best-producing crops, post-harvest infield grading is advantageous for enhancing economic efficiency and lowering production costs. Apple infield grading and sorting equipment’s technology have advanced quickly in recent decades. This study overviews the quality inspection developments in infield grading and sorting equipment. We present typical visual quality variables, including color, size, flaws, and internal quality inspection, as supplemental data for detection parameters. Later, Optical imaging methods such as visible light, near-infrared, hyperspectral/multispectral, and structured light are surveyed for apple quality assessment. Finally, the difficulties in commercializing the existing apple infield grading and sorting equipment are offered, including the need to get information about the whole area, uneven lighting, and high prices. Further provides an overview of the pertinent hardware and computational solutions. This chapter makes a comprehensive summary of apple infield grading and sorting technology. It points out the problems that must be faced in the follow-up development, which can guide future work.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85202667974&origin=inward; http://dx.doi.org/10.1007/978-981-99-6124-5_3; https://link.springer.com/10.1007/978-981-99-6124-5_3; https://dx.doi.org/10.1007/978-981-99-6124-5_3; https://link.springer.com/chapter/10.1007/978-981-99-6124-5_3
Springer Science and Business Media LLC
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