Abstract
High-resolution proximal and remote sensing applications can consolidate sustainable, prevention- and precision-oriented crop management strategies to decrease production risks. This paper shows significant perspectives, own developments and technical aspects of high resolution remote sensing in the context of field applications. Moreover, we provide an overview of snapshot hyperspectral imaging and potential field video sensors to identify areas of interest for their future development. One of the main conclusions of our paper is that non-scanning snapshot hyperspectral imaging technology may enable researchers to overcome the gap in the “point to image” transition of field sensing, while providing a flexible solution for regular variable-rate applications.
Highlights
There is a great potential for agricultural land use practices to increase information availability in everyday farming through the use of proximal- and remote sensing techniques (Mulla, 2013)
Spectral optical sensors or spectral imaging is a powerful bio- and geochemical analysis tool that can have a crucial role in the early detection of crop management risk factors, such as soil nutrition supply, pests and diseases (Dammer et al, 2009), and in the prevention or minimization of field scale chemical treatments
High-resolution spectral imaging provides the opportunity for both research and industry to develop novel approaches and technologies for putting prevention oriented and site-specific crop management into practice
Summary
There is a great potential for agricultural land use practices to increase information availability in everyday farming through the use of proximal- and remote sensing techniques (Mulla, 2013). Spectral optical sensors or spectral imaging is a powerful bio- and geochemical analysis tool that can have a crucial role in the early detection of crop management risk factors, such as soil nutrition supply, pests and diseases (Dammer et al, 2009), and in the prevention or minimization of field scale chemical treatments. The platform liberalization benefits from the existing spectral knowhow and enriches this at different spatial, spectral and temporal scales. This multi-scale data challenges the application and data provider community. There is a demand on sensor mobility and flexibility to which special attention will be probably given in the future
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
