Automatic detection of bunches of grapes in natural environment from color images. Reis, M., J., Morais, R., Peres, E., Pereira, C., Contente, O., Soares, S., Valente, A., Baptista, J., Ferreira, P., J., & Bulas Cruz, J. Journal of Applied Logic, 10(4):285-290, Elsevier, 12, 2012. Paper doi abstract bibtex Despite the benefits of precision agriculture and precision viticulture production systems, its rate of adoption in the Portuguese Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the environment makes grape detection difficult, especially when the grapes and leaves have a similar color, which is generally the case for white grapes. In this paper, we propose a system for the detection and location, in the natural environment, of bunches of grapes in color images. This system is able to distinguish between white and red grapes, and at the same time, it calculates the location of the bunch stem. The system achieved 97% and 91% correct classifications for red and white grapes, respectively. © 2012 Elsevier B.V.
@article{
title = {Automatic detection of bunches of grapes in natural environment from color images},
type = {article},
year = {2012},
keywords = {Grape detection,Image processing,Precision viticulture,Visual inspection},
pages = {285-290},
volume = {10},
month = {12},
publisher = {Elsevier},
day = {1},
id = {9b6593ec-ead2-3339-ac53-8854b067f8d8},
created = {2022-09-26T16:31:37.134Z},
accessed = {2022-09-26},
file_attached = {true},
profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},
group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},
last_modified = {2022-11-21T11:38:18.165Z},
read = {true},
starred = {false},
authored = {false},
confirmed = {false},
hidden = {false},
folder_uuids = {35f1a258-89fa-488b-8684-355f11ee4e9b,bd3c6f2e-3514-47cf-bc42-12db8b9abe45},
private_publication = {false},
abstract = {Despite the benefits of precision agriculture and precision viticulture production systems, its rate of adoption in the Portuguese Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the environment makes grape detection difficult, especially when the grapes and leaves have a similar color, which is generally the case for white grapes. In this paper, we propose a system for the detection and location, in the natural environment, of bunches of grapes in color images. This system is able to distinguish between white and red grapes, and at the same time, it calculates the location of the bunch stem. The system achieved 97% and 91% correct classifications for red and white grapes, respectively. © 2012 Elsevier B.V.},
bibtype = {article},
author = {Reis, M. J.C.S. and Morais, R. and Peres, E. and Pereira, C. and Contente, O. and Soares, S. and Valente, A. and Baptista, J. and Ferreira, P. J.S.G. and Bulas Cruz, J.},
doi = {10.1016/J.JAL.2012.07.004},
journal = {Journal of Applied Logic},
number = {4}
}
Downloads: 0
{"_id":"75zDFKsrdPQBfCeG9","bibbaseid":"reis-morais-peres-pereira-contente-soares-valente-baptista-etal-automaticdetectionofbunchesofgrapesinnaturalenvironmentfromcolorimages-2012","author_short":["Reis, M., J.","Morais, R.","Peres, E.","Pereira, C.","Contente, O.","Soares, S.","Valente, A.","Baptista, J.","Ferreira, P., J.","Bulas Cruz, J."],"bibdata":{"title":"Automatic detection of bunches of grapes in natural environment from color images","type":"article","year":"2012","keywords":"Grape detection,Image processing,Precision viticulture,Visual inspection","pages":"285-290","volume":"10","month":"12","publisher":"Elsevier","day":"1","id":"9b6593ec-ead2-3339-ac53-8854b067f8d8","created":"2022-09-26T16:31:37.134Z","accessed":"2022-09-26","file_attached":"true","profile_id":"235249c2-3ed4-314a-b309-b1ea0330f5d9","group_id":"5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1","last_modified":"2022-11-21T11:38:18.165Z","read":"true","starred":false,"authored":false,"confirmed":false,"hidden":false,"folder_uuids":"35f1a258-89fa-488b-8684-355f11ee4e9b,bd3c6f2e-3514-47cf-bc42-12db8b9abe45","private_publication":false,"abstract":"Despite the benefits of precision agriculture and precision viticulture production systems, its rate of adoption in the Portuguese Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the environment makes grape detection difficult, especially when the grapes and leaves have a similar color, which is generally the case for white grapes. In this paper, we propose a system for the detection and location, in the natural environment, of bunches of grapes in color images. This system is able to distinguish between white and red grapes, and at the same time, it calculates the location of the bunch stem. The system achieved 97% and 91% correct classifications for red and white grapes, respectively. © 2012 Elsevier B.V.","bibtype":"article","author":"Reis, M. J.C.S. and Morais, R. and Peres, E. and Pereira, C. and Contente, O. and Soares, S. and Valente, A. and Baptista, J. and Ferreira, P. J.S.G. and Bulas Cruz, J.","doi":"10.1016/J.JAL.2012.07.004","journal":"Journal of Applied Logic","number":"4","bibtex":"@article{\n title = {Automatic detection of bunches of grapes in natural environment from color images},\n type = {article},\n year = {2012},\n keywords = {Grape detection,Image processing,Precision viticulture,Visual inspection},\n pages = {285-290},\n volume = {10},\n month = {12},\n publisher = {Elsevier},\n day = {1},\n id = {9b6593ec-ead2-3339-ac53-8854b067f8d8},\n created = {2022-09-26T16:31:37.134Z},\n accessed = {2022-09-26},\n file_attached = {true},\n profile_id = {235249c2-3ed4-314a-b309-b1ea0330f5d9},\n group_id = {5ec9cc91-a5d6-3de5-82f3-3ef3d98a89c1},\n last_modified = {2022-11-21T11:38:18.165Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n folder_uuids = {35f1a258-89fa-488b-8684-355f11ee4e9b,bd3c6f2e-3514-47cf-bc42-12db8b9abe45},\n private_publication = {false},\n abstract = {Despite the benefits of precision agriculture and precision viticulture production systems, its rate of adoption in the Portuguese Douro Demarcated Region remains low. We believe that one way to raise it is to address challenging real-world problems whose solution offers a clear benefit to the viticulturist. For example, one of the most demanding tasks in wine making is harvesting. Even for humans, the environment makes grape detection difficult, especially when the grapes and leaves have a similar color, which is generally the case for white grapes. In this paper, we propose a system for the detection and location, in the natural environment, of bunches of grapes in color images. This system is able to distinguish between white and red grapes, and at the same time, it calculates the location of the bunch stem. The system achieved 97% and 91% correct classifications for red and white grapes, respectively. © 2012 Elsevier B.V.},\n bibtype = {article},\n author = {Reis, M. J.C.S. and Morais, R. and Peres, E. and Pereira, C. and Contente, O. and Soares, S. and Valente, A. and Baptista, J. and Ferreira, P. J.S.G. and Bulas Cruz, J.},\n doi = {10.1016/J.JAL.2012.07.004},\n journal = {Journal of Applied Logic},\n number = {4}\n}","author_short":["Reis, M., J.","Morais, R.","Peres, E.","Pereira, C.","Contente, O.","Soares, S.","Valente, A.","Baptista, J.","Ferreira, P., J.","Bulas Cruz, J."],"urls":{"Paper":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c/file/00511543-24a8-46e5-0c3c-426488db24c2/full_text.pdf.pdf"},"biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","bibbaseid":"reis-morais-peres-pereira-contente-soares-valente-baptista-etal-automaticdetectionofbunchesofgrapesinnaturalenvironmentfromcolorimages-2012","role":"author","keyword":["Grape detection","Image processing","Precision viticulture","Visual inspection"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/bfbbf840-4c42-3914-a463-19024f50b30c","dataSources":["2252seNhipfTmjEBQ"],"keywords":["grape detection","image processing","precision viticulture","visual inspection"],"search_terms":["automatic","detection","bunches","grapes","natural","environment","color","images","reis","morais","peres","pereira","contente","soares","valente","baptista","ferreira","bulas cruz"],"title":"Automatic detection of bunches of grapes in natural environment from color images","year":2012}