Zobrazeno 1 - 10
of 88
pro vyhledávání: '"insect classification"'
Publikováno v:
Insects, Vol 15, Iss 11, p 849 (2024)
Sound is an important medium of communication among insects. Some longhorn beetles produce sounds during their daily activities, and these sounds play a role in courtship, predation, and defense. However, whether there are differences in the sounds e
Externí odkaz:
https://doaj.org/article/da183429872b4b618b4e72a3a422a17c
Autor:
Sadık Eren Köse, Tolga Hayıt
Publikováno v:
Hittite Journal of Science and Engineering, Vol 10, Iss 3, Pp 249-257 (2023)
Artificial intelligence-based systems play a crucial role in Integrated Pest Management studies. It is important to develop and support such systems for controlling wheat pests, which cause significant losses in wheat production which is strategic im
Externí odkaz:
https://doaj.org/article/38534287768d4d57a51046e66c24b963
Autor:
Fatma M. A. Mazen
Publikováno v:
Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-16 (2023)
Abstract The detection and classification of insect species represent challenging computer vision tasks that have significant applications in zoology and agriculture. Fortunately, biologists and taxonomists have developed a systematic approach to org
Externí odkaz:
https://doaj.org/article/fbc2fdab996c4832acfb98e6c145f03c
Publikováno v:
Information Processing in Agriculture, Vol 10, Iss 2, Pp 256-266 (2023)
Automated recognition of insect category, which currently is performed mainly by agriculture experts, is a challenging problem that has received increasing attention in recent years. The goal of the present research is to develop an intelligent mobil
Externí odkaz:
https://doaj.org/article/c79334a894f749e288d83473f2b39fec
Publikováno v:
Agronomy, Vol 14, Iss 4, p 863 (2024)
Insect recognition, crucial for agriculture and ecology studies, benefits from advancements in RGB image-based deep learning, yet still confronts accuracy challenges. To address this gap, the HI30 dataset is introduced, comprising 2115 hyperspectral
Externí odkaz:
https://doaj.org/article/2e665d2bd558453fa1df16403af01144
Akademický článek
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Autor:
Durmus Ozdemir, Musa Selman Kunduraci
Publikováno v:
IEEE Access, Vol 10, Pp 35675-35684 (2022)
Insects are a class of the arthropod branch and the most crowded animal group in terms of species and taxonomy. Due to destruction and forest fires, some insect species could go extinct without being detected. Identifying new insects and having knowl
Externí odkaz:
https://doaj.org/article/7c919d3de512428aa307d231fedf362c
Publikováno v:
Sensors, Vol 23, Iss 15, p 6880 (2023)
In image classification, few-shot learning deals with recognizing visual categories from a few tagged examples. The degree of expressiveness of the encoded features in this scenario is a crucial question that needs to be addressed in the models being
Externí odkaz:
https://doaj.org/article/8e57cf06a5bc4b9c86ea25693bb919ad
Publikováno v:
IEEE Access, Vol 8, Pp 163703-163714 (2020)
The detection and identification of stored grain insects is important to ensure the safety of grain during grain storage. At present, insect identification methods primarily rely on manual classification; therefore, the automatic, rapid and accurate
Externí odkaz:
https://doaj.org/article/88539a03af7b41aeae35531f2aa567bf
Publikováno v:
Agriculture, Vol 13, Iss 3, p 713 (2023)
Globally, insect pests are the primary reason for reduced crop yield and quality. Although pesticides are commonly used to control and eliminate these pests, they can have adverse effects on the environment, human health, and natural resources. As an
Externí odkaz:
https://doaj.org/article/36dba9335806421b9f6b64a6c58492da