Agricultural Monitoring and Information
Systems Project (TARBIL)
monitoring network, 105
Agricultural monitoring systems, 82, 97
Agricultural observation system, 98
Agricultural product markets, 386
Agricultural Production System sIMulator
(APSIM), 32, 33
Agricultural sectors, 176
Agricultural Statistics Districts (ASD), 338,
341–343, 345
Agricultural stratum, 271
Agricultural Yield Survey (AYS), 185
Agriculture and Agri-Food Canada (AAFC), 183
Agriculture and Resource Inventory Surveys
Through Aerospace Remote Sensing
(AgRISTARS), 176
Agriculture disaster monitoring, 386
Agro-big data, 148–151, 158
Agro-geodata, 149–151, 387
Agro-geodata life cycle, 391, 392
Agro-geoinformatics
agricultural activities, 1
agricultural agencies, 43
agricultural applications, 1
agricultural drought, 5
agricultural image data collection, 4
airborne camera, 50–52
applications, 1
cellular networks, 2
cloud-based services, 3
consumers, 44
convolutional neural network algorithms, 2
crop fields/animals, 43
data consumers, 43
data sources, 42
developments, 2
efficiency, 2
electronic devices, 43
factor, 1
field stations, 43
flood, 2, 5
good agricultural practices, 2
GPS signal, 43
high-resolution datasets, 42
hybrid operational process, 5
in situ sensors, 53, 54
lab-on-a-chip solutions, 3
machine learning solutions, 3
management systems, 1
manual reporting, 54, 56
medium-low-resolution data, 42
monitoring devices, 42
physical parameters, 4
satellite, 42, 44, 45, 47, 49, 50
satellite remote sensing technology, 3
science, 1
sensor technology, 3
sourcing
cloud, 58–60
conventional, 56–58
crowdsourcing, 60, 61
sourcing channels, 42
spatial data, 4, 5
spatial interpolation, 42
statistics, 2
techniques, 42
Agro-geoinformation, 1, 4, 6, 165, 166, 386
Agrometeorological stations, 261
Agro-sensor web, 151, 152
Airborne-based data collection, 88
Airborne images, 333
Aircraft measurements, 51
AISA-ES hyper-spectral image data, 353
Alaska Satellite Facility (ASF), 49
Albers equal-area (AEA), 12
Albers equal-area projection, 387
Amazon Web Service (AWS), 45
American National Standards (ANS), 70
American National Standards Institute (ANSI),
70, 170
Analysis Ready Data (ARD), 12
Apache Tomcat, 394, 396
Application interfaces (API), 192
Application layer, 394–396
ArcGIS Explorer, 394
Area of interest (AOI), 387, 394, 396–399
Area sampling frame
CORINE Land Cover, 268
crop acreage and yield, 266
geospatial data, 268
improvements, 287
NASS’s, 270, 271
PSU, 266, 287, 288
Area under the curve (AUC), 340, 341
Arizona traditional area frame stratification, 280
Artificial intelligence neural network, 353
Artificial neural network (ANN), 94–97, 123
Automated stratification
accuracies, 277
agricultural commodities, 273
CDL-based automated, 267
effectiveness, 276
into NASS operations, 267
JAS segment file, 275
manual inspection and editing, 271
406
Index
Systems Project (TARBIL)
monitoring network, 105
Agricultural monitoring systems, 82, 97
Agricultural observation system, 98
Agricultural product markets, 386
Agricultural Production System sIMulator
(APSIM), 32, 33
Agricultural sectors, 176
Agricultural Statistics Districts (ASD), 338,
341–343, 345
Agricultural stratum, 271
Agricultural Yield Survey (AYS), 185
Agriculture and Agri-Food Canada (AAFC), 183
Agriculture and Resource Inventory Surveys
Through Aerospace Remote Sensing
(AgRISTARS), 176
Agriculture disaster monitoring, 386
Agro-big data, 148–151, 158
Agro-geodata, 149–151, 387
Agro-geodata life cycle, 391, 392
Agro-geoinformatics
agricultural activities, 1
agricultural agencies, 43
agricultural applications, 1
agricultural drought, 5
agricultural image data collection, 4
airborne camera, 50–52
applications, 1
cellular networks, 2
cloud-based services, 3
consumers, 44
convolutional neural network algorithms, 2
crop fields/animals, 43
data consumers, 43
data sources, 42
developments, 2
efficiency, 2
electronic devices, 43
factor, 1
field stations, 43
flood, 2, 5
good agricultural practices, 2
GPS signal, 43
high-resolution datasets, 42
hybrid operational process, 5
in situ sensors, 53, 54
lab-on-a-chip solutions, 3
machine learning solutions, 3
management systems, 1
manual reporting, 54, 56
medium-low-resolution data, 42
monitoring devices, 42
physical parameters, 4
satellite, 42, 44, 45, 47, 49, 50
satellite remote sensing technology, 3
science, 1
sensor technology, 3
sourcing
cloud, 58–60
conventional, 56–58
crowdsourcing, 60, 61
sourcing channels, 42
spatial data, 4, 5
spatial interpolation, 42
statistics, 2
techniques, 42
Agro-geoinformation, 1, 4, 6, 165, 166, 386
Agrometeorological stations, 261
Agro-sensor web, 151, 152
Airborne-based data collection, 88
Airborne images, 333
Aircraft measurements, 51
AISA-ES hyper-spectral image data, 353
Alaska Satellite Facility (ASF), 49
Albers equal-area (AEA), 12
Albers equal-area projection, 387
Amazon Web Service (AWS), 45
American National Standards (ANS), 70
American National Standards Institute (ANSI),
70, 170
Analysis Ready Data (ARD), 12
Apache Tomcat, 394, 396
Application interfaces (API), 192
Application layer, 394–396
ArcGIS Explorer, 394
Area of interest (AOI), 387, 394, 396–399
Area sampling frame
CORINE Land Cover, 268
crop acreage and yield, 266
geospatial data, 268
improvements, 287
NASS’s, 270, 271
PSU, 266, 287, 288
Area under the curve (AUC), 340, 341
Arizona traditional area frame stratification, 280
Artificial intelligence neural network, 353
Artificial neural network (ANN), 94–97, 123
Automated stratification
accuracies, 277
agricultural commodities, 273
CDL-based automated, 267
effectiveness, 276
into NASS operations, 267
JAS segment file, 275
manual inspection and editing, 271
406
Index