Review article

POSSIBILITY OF USING MULTISPECTRAL CAMERAS IN AGRICULTURE

Milorad Vojvodić orcid.org/0000-0002-0408-4614 ; Sveučilište u Zagrebu Agronomski fakultet, Zavod za poljoprivrednu zoologiju
Sandra Skendžić orcid.org/0000-0002-9115-2899 ; Sveučilište u Zagrebu Agronomski fakultet, Zavod za poljoprivrednu zoologiju
Darija Lemić orcid.org/0000-0002-1175-3716 ; Sveučilište u Zagrebu Agronomski fakultet, Zavod za poljoprivrednu zoologiju

Abstract

Precision agriculture is about using modern technologies to provide farmers with as much real-time information as possible, based on which they can make timely decisions about the care and protection of agricultural crops. To this end, remote sensing methods have been developed using GPS, GIS, multispectral and RGB cameras and other similar high-tech equipment. Remote sensing is conducted using satellites, airplanes, helicopters or drones, and ground-based platforms. The use of drones equipped with multispectral cameras that capture both the part of the spectrum visible to the human eye (VIS, 400-700 nm) and the invisible, i.e., infrared part of the spectrum (NIR, 700-1,300 nm), is becoming increasingly common in remote sensing research. Vegetation reflects most of the radiation it receives in the green (visible) part of the electromagnetic spectrum and absorbs much of the infrared energy, while dry land absorbs large amounts of visible light but reflects much of the near-infrared (NIR) spectrum. Images captured by two multispectral cameras (RGB and NIR) offer great potential for assessing crop condition, detecting pests, diseases and weeds, and other features important to agricultural production. There are several manufacturers and different types of multispectral cameras on the market, with a wide price range depending on their features, so high-tech cameras can cost over $80,000.00.

Keywords

drones (UAV); multispectral cameras; precision agriculture; remote sensing

Hrčak ID:

304944

URI

https://hrcak.srce.hr/304944

Publication date:

29.6.2023.

Article data in other languages: croatian

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