Crop Information Sensing Technology

Precision agricultural practice requires getting aware of crop growth situation via sensitive, accurate, economical, and fast sensing means to improve decision-making for production management. Supported by IoT technology, big data analysis, and digital detection, crop information sensing technologies have been advanced rapidly. Though the traditional chemical detection instruments could meet the requirement on the accuracy and sensitivity, these methods do present disadvantages like complicated procedures, high costs, and long detection time. For overcoming these disadvantages, extensive research has been undertaken to develop technologies for detecting crop growth information via spectral methods. This chapter introduces the academic progress in developing spectral sensing technologies for detecting crop nutrient, phonological and phonemic awareness, diseases, and content of heavy metal and pesticide residue, including near-infrared reflectance spectroscopy, hyperspectral imaging, laser-induced breakdown spectroscopy, terahertz technology, and surface-enhanced Raman spectroscopy.

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