Agriculture and Remote Sensing (RS) have shared a long common story. Spectral properties of vegetation can be related to many phenol-/physiological parameters of crop. The recent technology advance has made available for users both low cost multispectral sensors and platforms (Remotely Piloted Aerial Systems, RPAS). In Precision Farming the current moment is crucial, since scientists have still not an-swered all the questions concerning performances of RS+RPAS systems, nor consistency of costs with those required by the low profit ag-ricultural sector. We, firstly, try to lists the main tasks that are expected from RS+RPAS in agriculture (energy balance and thermal remote sens-ing excluded). Finally a discussion is opened about those critical aspects that, in our opinion, make the current adoption of RS+RPAS still unreliable, or not still proper, in agriculture.

Remote Sensing from RPAS in Agriculture: an Overview of Expectations and Unanswered Questions

BORGOGNO MONDINO, Enrico Corrado
2017-01-01

Abstract

Agriculture and Remote Sensing (RS) have shared a long common story. Spectral properties of vegetation can be related to many phenol-/physiological parameters of crop. The recent technology advance has made available for users both low cost multispectral sensors and platforms (Remotely Piloted Aerial Systems, RPAS). In Precision Farming the current moment is crucial, since scientists have still not an-swered all the questions concerning performances of RS+RPAS systems, nor consistency of costs with those required by the low profit ag-ricultural sector. We, firstly, try to lists the main tasks that are expected from RS+RPAS in agriculture (energy balance and thermal remote sens-ing excluded). Finally a discussion is opened about those critical aspects that, in our opinion, make the current adoption of RS+RPAS still unreliable, or not still proper, in agriculture.
2017
26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD2017
Torino (Italy)
21-23/6/2017
Mechanisms and Machine Science
Ferraresi C., Quaglia G.
49
483
492
https://link.springer.com/chapter/10.1007/978-3-319-61276-8_51
RPAS, UAV,Precision Farming, Low cost multispectral sensors
Enrico, Borgogno Mondino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1643736
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