Low-Cost Hyperspectral Imaging Device for Portable Remote Sensing

Abstract

Hyperspectral imaging has revolutionized various scientific fields by enabling a detailed analysis of objects and materials based on their spectral signatures. However, the high cost and complexity of commercial hyperspectral camera systems limit their accessibility to researchers and professionals. In this paper, a do-it-yourself (DIY) hyperspectral camera device that offers a cost-effective and user-friendly alternative to hyperspectral imaging is presented. The proposed device leverages off-the-shelf components, commercially available hardware parts, open-source software, and novel calibration techniques to capture and process hyperspectral imaging data. The design considerations, hardware components, and construction process are discussed, providing a comprehensive guide for building the device. Furthermore, the performance of the DIY hyperspectral camera is investigated through experimental evaluations with a multi-color 3D-printed box in order to validate its sensitivities to red, green, blue, orange and white colors.

A Citizen Science Tool Based on an Energy Autonomous Embedded System with Environmental Sensors and Hyperspectral Imaging

“…Spectral imaging [30] has recently been enhanced by the integration of AI and DL techniques [31], offering a promising approach for advancements in the agricultural sector. Pechlivani et al (2023) [19] developed a cost-effective hyperspectral camera using off-theshelf components and open-source software, enabling the simplified capture and analysis of hyperspectral imaging data. Giakoumoglou et al (2023) [32] utilized multispectral imaging to identify the plant disease, grey mold, applying DL models that achieved a 93% accuracy in classification and a 0.88 mean Average Precision (mAP) in detection.…”

“…The material chosen for the HI-based module prototype was PETG (polyethylene terephthalate glycol), supplied in filament form with a 1.75 mm diameter. PETG is known for its ability to withstand and remain durable in hot weather conditions and it is also a recyclable material [19,59].…”

“…For the evaluation of the images captured using the HI-based module as a proof of concept, the same 3D-printed multi-color box was utilized, as used in a prior study where a hyperspectral camera was developed [19]. The multi-color box was captured using a smartphone's camera equipped with the HI-based system, as depicted in Figure 3.…”

“…Also, features such as crop water content, chlorophyll and nitrogen contents, pests, and plant dimensions can be obtained and analyzed [16,17]. However, most solutions that combine AI and HI are often expensive and not accessible to all interested groups [18,19].…”

Vegetation Indices for Early Grey Mould Detection in Lettuce Grown under Different Lighting Conditions

“…Naturally, using spectroscopic instruments is not without difficulties and challenges [27]. The precision and usage of optical imaging with sensors have specific needs regarding plant disease detection in horticulture [20].…”