Cite this DOI

Santhosh S Nayak, S. S. N. (2022). A COMPARATIVE STUDY OF VARIOUS OBJECT DETECTION AND FEATURE EXTRACTION ALGORITHMS. *Journal of Science & Technology*, *7*(2), 291–300. https://doi.org/10.46243/jst.2022.v7.i02.pp291-300

@article{santhoshsnayak2022comparative,
  author    = {Santhosh S Nayak, Santhosh S Nayak},
  title     = {{A COMPARATIVE STUDY OF VARIOUS OBJECT DETECTION AND FEATURE EXTRACTION ALGORITHMS}},
  journal   = {Journal of Science \& Technology},
  year      = {2022},
  month     = {jul},
  volume    = {7},
  number    = {2},
  pages     = {291--300},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2022.v7.i02.pp291-300},
  url       = {https://doi.org/10.46243/jst.2022.v7.i02.pp291-300},
  language  = {en},
  abstract  = {Agriculture is the most important sector in the Indian economy's development. In today's agriculture, there is a high demand to transition from tedious time-consuming manual harvesting to a fully automated operation. The combination of both autonomous harvesting and segregation of tomato fruit and three different phases or conditions of tomato is classified in this study. This project uses an image processing technique to classify the tomato's condition using a sample OpenCV tool. A Raspberry Pi camera is used to capture video continuously and this R-pi converts real time input video into frame, then object detection and image processing algorithm is performed on those image frame to detect shape of tomato, color filter is applied on tomato image to detect color of tomato. This paper suggests various important approaches for image processing and also suggests the most popular and widely used algorithms for object detection}
}

TY  - JOUR
TI  - A COMPARATIVE STUDY OF VARIOUS OBJECT DETECTION AND FEATURE EXTRACTION ALGORITHMS
AU  - Santhosh S Nayak, Santhosh S Nayak
JO  - Journal of Science & Technology
PY  - 2022
DA  - 2022/07/03/
VL  - 7
IS  - 2
SP  - 291
EP  - 300
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - Agriculture is the most important sector in the Indian economy's development. In today's agriculture, there is a high demand to transition from tedious time-consuming manual harvesting to a fully automated operation. The combination of both autonomous harvesting and segregation of tomato fruit and three different phases or conditions of tomato is classified in this study. This project uses an image processing technique to classify the tomato's condition using a sample OpenCV tool. A Raspberry Pi camera is used to capture video continuously and this R-pi converts real time input video into frame, then object detection and image processing algorithm is performed on those image frame to detect shape of tomato, color filter is applied on tomato image to detect color of tomato. This paper suggests various important approaches for image processing and also suggests the most popular and widely used algorithms for object detection
DO  - 10.46243/jst.2022.v7.i02.pp291-300
UR  - https://doi.org/10.46243/jst.2022.v7.i02.pp291-300
ER  -

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    "DOI": "10.46243/jst.2022.v7.i02.pp291-300",
    "URL": "https://doi.org/10.46243/jst.2022.v7.i02.pp291-300",
    "title": "A COMPARATIVE STUDY OF VARIOUS OBJECT DETECTION AND FEATURE EXTRACTION ALGORITHMS",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "Agriculture is the most important sector in the Indian economy's development. In today's agriculture, there is a high demand to transition from tedious time-consuming manual harvesting to a fully automated operation. The combination of both autonomous harvesting and segregation of tomato fruit and three different phases or conditions of tomato is classified in this study. This project uses an image processing technique to classify the tomato's condition using a sample OpenCV tool. A Raspberry Pi camera is used to capture video continuously and this R-pi converts real time input video into frame, then object detection and image processing algorithm is performed on those image frame to detect shape of tomato, color filter is applied on tomato image to detect color of tomato. This paper suggests various important approaches for image processing and also suggests the most popular and widely used algorithms for object detection",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2022.v7.i02.pp291-300 gives all four in one JSON answer.