Design and Development of Large-Band Dual-MSFA Sensor Camera for Precision Agriculture.

Abstract

The optimal design and construction of multispectral cameras can remarkably reduce the costs of spectral imaging systems and efficiently decrease the amount of image processing and analysis required. Also, multispectral imaging provides effective imaging information through higher-resolution images. This study aimed to develop novel, multispectral cameras based on Fabry-Pérot technology for agricultural applications such as plant/weed separation, ripeness estimation, and disease detection. Two multispectral cameras were developed, covering visible and near-infrared ranges from 380 nm to 950 nm. A monochrome image sensor with a resolution of 1600 × 1200 pixels was used, and two multispectral filter arrays were developed and mounted on the sensors. The filter pitch was 4.5 μm, and each multispectral filter array consisted of eight bands. Band selection was performed using a genetic algorithm. For VIS and NIR filters, maximum RMS values of 0.0740 and 0.0986 were obtained, respectively. The spectral response of the filters in VIS was significant; however, in NIR, the spectral response of the filters after 830 nm decreased by half. In total, these cameras provided 16 spectral images in high resolution for agricultural purposes.

Plant phenotyping relevance

植物の分光画像取得と病害・成熟度などの植物状態推定に用いるマルチスペクトルカメラ自体の設計・開発が中心であり、植物フェノタイピング用センサー開発に該当する。

Code and data availability

The supplied blocks describe the design of a dual-MSFA multispectral camera and mention an in-house dataset of 626 spectral reflectance samples of eight plants/weeds and MATLAB band-selection/demosaicking programs, but no public deposit, availability statement, or authors' URL for any dataset, image, code, or model is.

No evidence-backed public reproduction asset is currently recorded.