Affiliation:
1. KLS Gogte Institute of Technology, India
2. Lord Buddha Education Foundation, Nepal
Abstract
The reduction of post-harvest losses and value addition of the horticultural corps has attained the higher priority of the current research works. Grading is the major phase in post-harvest handling. Presently grading is done on the basis of observation and through experience. Various drawbacks associated with such manual grading are subjectivity, tediousness, labor requirements, availability, inconsistency, etc. Such problems can be alleviated by incorporating automation in the process. Researchers round the clock are working towards the development of technology-driven solutions in order to grade/sort/classify various agricultural and horticultural produce. With the motto of helping the researchers in the field of grading and quality assessment of fruits and other horticulture products, the present work endeavors the following major contributions: (1) a precise and comprehensive review on technology-driven solutions for grading/sorting/classification of fruits, (2) major research gaps addressed by the researchers, and (3) research gaps to be addressed.
Reference36 articles.
1. Automatic Fruits Identification System Using Hybrid Technique
2. Recognition and localization of ripen tomato based on machine vision.;A.Arefi;Australian Journal of Crop Science,2011
3. High speed intelligent classifier of tomatoes by colour, size and weight
4. Collins, R. J. (2009). Value Chain Management And Postharvest Handling: Partners In Competitiveness. Academic Press.
5. Estimate Ripeness Level of fruits Using RGB Color Space and Fuzzy Logic Technique.;M.Dadwal;International Journal of Engineering and Advanced Technology,2012
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