Determining irrigation time, frequency, and duration is a critical factor in production agriculture since it directly impacts the health of crops. Altum-PT thermal imagery provides powerful insights into water management, helping irrigation managers determine the correct watering and identify leaks or clogs in the irrigation system by the difference in crop canopy and soil temperature.

With the high-resolution multispectral imagery from Altum-PT, users have a better chance to identify problems affecting the physiology of the plant canopy. Diseases, insects, and nutrient issues often cause physiological damage before symptoms are visible in RGB. Using the different multispectral indices and composites of the pan-sharpened data, these issues can be detected sooner.

Manually measuring plant characteristics is time-consuming. Altum-PT captures more data in less time, allowing researchers to more easily understand how different traits react to different growing conditions. 

Popular fruit yield estimation methods like manual fruit count or time series analysis are time-consuming and expensive. Altum-PT offers a combination of high-resolution RGB, multispectral, and thermal imagery, enabling more precise yield predictions by allowing algorithm-based fruit counts and temperature analysis.

Canopy temperature is a valuable indicator of plant stress. Altum-PT thermal imager allows farmers to periodically evaluate plant physiological status and detect subtle changes in canopy temperature that could be an indicator of water stress.

Altum-PT's thermal imagery can help identify clogs and irrigation leaks through the water cooling effects or lack thereof on the vegetation and ground. Areas with excessive irrigation will appear noticeably cooler than the rest of the field. Areas with no irrigation will show higher temperatures than the rest of the field.