Real-time detection and identification of invertebrates on crops is a useful capability for integrated pest management, however, this challenging task has not been solved. Compared with other technologies, a machine vision system (MVS) could provide a more flexible solution. To date, most studies have focused on counting and identifying specimens in sample containers, glass slides or traps where the illumination and background reflection can be well controlled; few studies have been conducted to detect pests on plants. In the context of invertebrate detection or identification, the spectra of visible light, near infrared (NIR) and soft X-ray have been well studied, while the spectrum of ultraviolet (UV) is still untouched. Many species of bird prey on invertebrate pests and have adaptations in their visual system to enhance detection of targets. These birds can use both UV and visible light to hunt. If the mechanisms of bird vision could be transferred to a technological visual system, it might improve the capability for invertebrate detection. This study provides an initial estimation of the contribution of UV for invertebrate detection on green leaves. By fusing the UV images into the visible light and NIR images, the MVS can detect nine invertebrate species on leaves of plants and the UV images can significantly reduce segmentation errors. The initial experiment was conducted in a laboratory, however, this study shows promise for infield applications.
Precision Agriculture – Springer Journals
Published: Aug 31, 2016
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera