Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Noureddine Falih"'
Publikováno v:
Foods and Raw Materials, Vol 13, Iss 1, Pp 107-118 (2025)
Agriculture 4.0 is an opportunity for farmers to meet the current challenges in food production. It has become necessary to adopt a set of agricultural practices based on advanced technologies. Agriculture 4.0 enables farms to create added value by c
Externí odkaz:
https://doaj.org/article/d8d1353cf37f427fb8a5dd1dec3dc4e8
Publikováno v:
Foods and Raw Materials, Vol 9, Iss 2, Pp 387-396 (2021)
Introduction. Deep learning is a modern technique for image processing and data analysis with promising results and great potential. Successfully applied in various fields, it has recently entered the field of agriculture to address such agricultural
Externí odkaz:
https://doaj.org/article/76c47661b439482785715b42fe919e86
Autor:
Brahim Jabir, Noureddine Falih
Publikováno v:
International Journal of Intelligent Information Technologies. 18:1-18
A set of experiments has shown that deep learning as well as traditional learning can be used in the weed detection process and perform well, although sometimes these models cannot fully exploit and utilize the long-term dependency relationship betwe
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031288456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44d38f604d6208c80284400ae3a7c239
https://doi.org/10.1007/978-3-031-29313-9_25
https://doi.org/10.1007/978-3-031-29313-9_25
Publikováno v:
2022 8th International Conference on Optimization and Applications (ICOA).
Autor:
Hamza Jdi, Noureddine Falih
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 31:451
Agriculture in the region of Beni Mellal-Khenifra, Morocco relies on irrigation from rain and dams, but recently there has been a lack of precipitation which may negatively affect crop growth. This has made accurate precipitation forecasts even more
Publikováno v:
International Journal of Online and Biomedical Engineering, Vol 17, Iss 05, Pp 165-184 (2021)
In agriculture, weeds cause direct damage to the crop, and it primarily affects the crop yield potential. Manual and mechanical weeding methods consume a lot of energy and time and do not give efficient results. Chemical weed control is still the bes
Publikováno v:
Agris on-line Papers in Economics and Informatics. 13:49-57
Researchers in precision agriculture regularly use deep learning that will help growers and farmers control and monitor crops during the growing season; these tools help to extract meaningful information from large-scale aerial images received from t
Autor:
Hamza Jdi, Noureddine Falih
Publikováno v:
Advances in Information, Communication and Cybersecurity ISBN: 9783030917371
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::435e074bb1ea8e8968734f8a3fc809b1
https://doi.org/10.1007/978-3-030-91738-8_12
https://doi.org/10.1007/978-3-030-91738-8_12