Sensor based pre-symptomatic detection of pests and pathogens for precision scheduling of crop protection products

Abstract

Providing global food security requires a better understanding of how plants function and how their products, including important crops are influenced by environmental factors. Prominent biological factors influencing food security are pests and pathogens of plants and crops. Traditional pest control, however, has involved chemicals that are harmful to the environment and human health, leading to a focus on sustainability and prevention with regards to modern crop protection. A variety of physical and chemical analytical tools is available to study the structure and function of plants at the whole-plant, organ, tissue, cellular, and biochemical levels, while acting as sensors for decision making in the applied crop sciences. Vibrational spectroscopy, among them mid-infrared and Raman spectroscopy in biology, known as biospectroscopy are well-established label-free, nondestructive, and environmentally friendly analytical methods that generate a spectral “signature” of samples using mid-infrared radiation. The generated wavenumber spectrum containing hundreds of variables as unique as a biochemical “fingerprint”, and represents biomolecules (proteins, lipids, carbohydrates, nucleic acids) within biological ... (continues)

Plant phenotyping relevance

植物の構造・機能を対象に、振動分光法を用いて害虫・病原体の感染状態を発症前に検出するセンサー手法が中心であり、植物状態の取得方法に該当する。

Code and data availability

The thesis states that all PCA-LDA computational analysis of the ATR-FTIR plant spectra was performed using the open-source IRootlab toolbox, with an explicit public GitHub URL provided in the text. No paper-specific phenotype datasets, raw spectra deposits, or trained models are reported in the supplied blocks.