Hyperspectral imaging spectrometers provide detailed and continuous spectral data in addition to spatial information found in commercial RGB or monochromatic cameras. The addition of spectral information can provide valuable insight in many fields such as but not limited to biomedical imaging, smart farming, environmental monitoring, and remote sensing. Key to monitoring dynamic events is fast, snapshot acquisition of the hyperspectral datacube and then quick turnaround of raw data into decipherable hyperspectral images and spectra. Previous implementations of fiber based imaging spectrometers were focused on breadboard proof of concept designs and were not optimized for field imaging. This thesis details the development of two generations of imaging spectrometers for remote sensing of crop health and the advancement of fiber image guide based snapshot imaging spectrometer technology including fiber bundle fabrication, system level integration and ruggedization, and in-the-field application based data collection. Examples of remote sensing data for smart farming with spectral data informing plant stress from abiotic stressors such as water stress and soil minerology are presented. Design and implementation of components and housing will enable the snapshot imaging spectrometers to image dynamic targets in a variety of environments, including from an aerial platform. To enable miniaturization and high level integration, optical fiber fabrication using 2-photon 3D printing is presented. 2-photon fabrication of fiber bundles was pursued via investigation of individual fibers and fiber components such as fiber couplers, then small arrays in air, and then scale up and the addition of cladding.