Agriculture Reference
In-Depth Information
080999.csv
27.3 - 31.1
31.1 - 35.4
35.4 - 37.6
37.6 - 40.1
40.1 - 42.2
42.2 - 44.2
44.2 - 46.2
46.2 - 48.7
48.7 - 51.9
51.9 - 56.5
Surface from 080999.csv
30.283 - 32.805
32.805 - 35.326
35.326 - 37.848
37.848 - 40.37
40.37 - 42.891
42.891 - 45.413
45.413 - 47.935
47.935 - 50.456
50.456 - 52.978
NODATA
Actual SPAD value
080999.csv
2.635 - 3.048
3.048 - 3.358
3.358 - 3.617
3.617 - 3.821
3.821- 3.999
3.999 - 4.185
4.185 - 4.425
4.425 - 4.721
4.721 - 5.042
5.042 - 5.48
2.792 - 3.071
3.071 - 3.351
3.351 - 3.63
3.63 - 3.909
3.909 - 4.188
4.188 - 4.467
4.467 - 4.746
4.746 - 5.025
5.025 - 5.304
NODATA
Surface from 080999.csv
Estimated SPAD by MSIS
FIGURE 2.28
GIS map of estimated crop SPAD in a field.
advanced sensor-based capabilities for localization and obstacle detection, as well as
local communication and coordination for joint planning and deliberation between
the robots. In this session, two basic motion control algorithms, a GOTO and a
FOLLOW algorithm, are explained for use in a master-slave structure within a mul-
tirobot system to give more autonomy (Noguchi
et al., 2004). GOTO algorithm con-
sists of a behavior where the slave follows a path from the current point to another,
predetermined one, following instructions such as “go to the refueling station.” The
FOLLOW algorithm puts the slave into a state such that it mimics the navigation
of the master, but with a predetermined backward and lateral offset. An example
instruction would be “follow me five meters behind and two meters to the left.”
2.9.2 M
ULTIROBOT
S
TRUCTURE
There are many types of field operations that use two vehicles. When harvesting hay
on grassland, it is customary for one dump truck and one tractor with a hayfork to be
