ASD — Highland Precision Agriculture case study: Improving precision agriculture with visible and near-infrared spectroscopy

Abstract

Precision agriculture is an innovative and integrated approach to agriculture that aims to improve the efficiency of resource use and the decision-making surrounding variation on farms. During the past few decades, investments in precision agriculture research and technology have significantly increased worldwide. One such technological advance, near infrared spectroscopy, has been used as an analytical tool in the agriculture industry since the 1990s, and as instruments continue to evolve over time, the use of near infrared continues to progress. In this paper, current developments and future applications of visible and near-infrared spectroscopy (Vis-NIR) are discussed. The research aims to determine whether different pest infestation levels (in this case, the two-spotted spider mite) and other plant stressors on strawberry leaves can be distinguished spectrally using high-resolution Vis-NIR. Since research is still underway, the development of commercially viable monitoring methods remains in its infancy. However, the goal is to advance remote sensing techniques and image analytics to the point where fields can be scanned more quickly, efficiently, and accurately than with traditional monitoring methods.

Keywords

Near-infrared spectroscopy precision agriculture hyperspectral remote sensing Vis-NIR plant stressors image analytics

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