Precision agriculture tools such as sensor-based technologies have been shown to be effective in detecting nutrient deficiencies as well as biotic and abiotic stress in various crops. Remote sensors make it possible to accurately access the crop’s nutrient status and account for spatial and temporal variability. This enables adjusting fertilizer application rates according to site-specific conditions which results in more efficient, profitable, and sustainable crop production. Remote sensing is a precision agriculture technique that quantitatively measures vegetation indices such as the Normalized Difference Vegetation Index (NDVI). Some of the challenges of utilizing sensor-based tools include differences in sensor make and model, time of sensing/crop growth stage, environment (crop type, management, temperature, soil color), and human factors (height, speed, steadiness, consistency). The presentation will focus on identifying the potential benefits of sensor-based technologies for detecting stress in crops and on discussing ways to optimize the accuracy and precision of data acquisition.