Index

Gonzalo Maldonado-Guzmán (Universidad Autónoma de Aguascalientes, Mexico)
Jose Arturo Garza-Reyes (University of Derby, UK)
Lizeth Itziguery Solano-Romo (Universidad Autónoma de Aguascalientes, Mexico)

Intelligent Agriculture

ISBN: 978-1-78973-846-9, eISBN: 978-1-78973-843-8

Publication date: 10 June 2019

This content is currently only available as a PDF

Citation

Maldonado-Guzmán, G., Garza-Reyes, J.A. and Solano-Romo, L.I. (2019), "Index", Intelligent Agriculture, Emerald Publishing Limited, Bingley, pp. 179-183. https://doi.org/10.1108/978-1-78973-843-820191008

Publisher

:

Emerald Publishing Limited

Copyright © 2019 Emerald Publishing Limited


INDEX

AgDrone System™
, 9–10

Agricultural machinery
, 20

Agrochemicals
, 21, 25–27

advantages of
, 25–26

disadvantages of
, 26–27

Agroptima
, 12, 14

Agrotechnology
, 81–83

Agrotechnology solutions
, 111–116

aim and objectives
, 116–117

feasibility analysis
, 157–161

proof-of-concept activities
, 118–141

Agrowin
, 11, 14

Aguascalientes
, 35

Aguasmarket
, 12, 14

Arduino Mega 2560
, 59, 67, 74–75, 76–77, 118–119, 122–124, 126–127, 129–130, 133–134, 136–140, 145–147, 155–157, 160–161, 163, 164, 166–169

hardware components
, 73

technical specification
, 78

Artificial neural networks
, xviii

ATmega2560 microcontroller
, 165–166

Atmospheric sensors, technical specification of
, 62, 63

Battery life
, 69–70

Battery power consumption calculation
, 71

BIS Research
, 58–59

Brioagrow
, 8–9, 14

Broccoli (Brassica oleracea)

plantation of
, 4–7

producers, in Mexico
, 44–47

Business user case
, 84–86

Campeche
, 35

Cargill
, 20–21

Chiapas
, 36

Coahuila
, 36

Colima
, 36

Comma-separated value (CSV)
, 119–120, 123, 125–127, 129, 131–132, 143–144

Crop menu sequence
, 99

Crop user case description
, 87–88

Data acquisition (DAQ) system
, 114–115, 117

Database (DB)

creation
, 1–3

development and implementation of
, 3–4

sequence, filling
, 99

user case description, filling
, 90, 92, 96

Data mining
, 1–3

DHT22 sensor
, 146–147, 155, 156–157

Differentiated integral processes
, xviii

Direct sowing
, 21, 24–25

advantages of
, 24

disadvantages of
, 24–25

DS3231 RTC
, 155–156

Durango
, 37

EC-05 (soil moisture sensor)
, 61–65

Electrical conductivity (EC) measurement
, 127–135

Employee administration user case description
, 92, 97

Employee management sequence
, 99

Entity-relationship diagram (ERD)
, 98, 101

5TE sensor probe
, 129–130, 131–132, 133–134, 135, 145–146, 152–153

5TM (soil temperature and moisture sensor)
, 60–61

Fuzzy logic
, xviii

Geographical information system (GIS)
, 22–23

Global positioning system (GPS)
, 22–23, 53–54, 58–59

Global radiation measurement
, 136–141

Graphical user interface (GUI)
, 164

GS3 (electrical conductivity sensor)
, 61

Guanajuato
, 37

Guerrero
, 37–38

Hardware brain
, 73–80

Arduino Mega 2560
, 76–77, 78

Raspberry Pi 3 Model B
, 74–76

XBee PRO Series 1
, 77–80

HCI
, 99–101

Hidalgo
, 38

Hierarchical control model
, 50–51

Historic data use case diagram
, 86–87

HMP-60 (humidity and temperature probe sensor) sensor
, 60, 121, 136–137

configuration values
, 123–124

HoneyComb
, 9–10, 14

Humidity measurement
, 120–127

Hybrid seeds
, 20

IEEE 802.15.4 standard

XBee PRO Series 1
, 78, 79–80

Intellectual property analysis
, 28–33

computer programs, protection of
, 30–33

Internal control models
, xx–xxi

Jalisco
, 38

LM355 sensor
, 165

MakeMap™ Processing
, 9–10

Matplotlib software
, 164, 167–169

Monsanto
, 20–21

Morelos
, 38

Nayarit
, 39

Non-linear control systems
, 49–50

Nuevo León
, 39

Oaxaca
, 39

Optimal control systems
, 49–50

Outside temperature measurement
, 120–127

Planting techniques
, 21–22

Prediction models
, xix–xx, xx, xxi–xxii

Proagro Productivo
, 34

Production control
, xix–xx, xx, xxi–xxii

Proof-of-concept activities
, 118–141

Puebla
, 39

Qualcomm
, 30–31

Querétaro
, 39

Quintana Roo
, 39–40

Raspberry Pi 3 Model B
, 67, 74–76, 118–120, 123–124, 125–127, 129, 133–134, 135, 137, 140–141, 143–145, 160–161, 163, 164, 166–169

hardware components
, 73

software
, 126–127

technical specification of
, 75

Remote control agriculture
, 22

Sagarpa
, 34–42

San Luis Potosí
, 40

Sensor nodes (SNs)
, 114, 115–116, 117

Sensors
, 22–23, 55–65

atmospheric sensors, technical specification of
, 62, 63

EC-05 (soil moisture sensor)
, 61–65

5TM (soil temperature and moisture sensor)
, 60–61

GS3 (electrical conductivity sensor)
, 61

HMP-60 (humidity and temperature probe sensor)
, 60

sequence management
, 99

soil sensors, technical specification of
, 62–65

SP-212 (solar radiation sensor)
, 60

use case description, management of
, 89–90, 95

Sinaloa
, 40

Sink nodes
, 65–67

structure of
, 65–66

Sismagro
, 11–12, 14

Smart Agriculture
, xviii

Smart Fertilizer Management Software
, 10–11, 14

Smart monitoring and control system (SMCS)
, 99–101, 111–112, 114–116

Soil

compaction
, 16, 17

erosion
, 16

moisture
, 127–129

productivity improvement techniques
, 16

sensors, technical specification of
, 62–65

temperature measurement
, 127–135

Solar panels
, 67–73

battery power consumption calculation
, 71

technical specification of
, 72

V44 batteries
, 72

Sonora
, 40

SPI-212 sensor
, 60, 137–140, 146–147

System architecture
, 49–52

hardware brain
, 73–80

Arduino Mega 2560
, 76–77, 78

components
, 73

Raspberry Pi 3 Model B
, 74–76

XBee PRO Series 1
, 77–80

wireless sensor network
, 52–73

sensors
, 55–65

sink nodes
, 65–67

solar panels
, 67–73

Tabasco
, 41

Tamaulipas
, 41

Technology readiness level (TRL)
, 115–116, 157–161

Tlaxcala
, 41

Transgenic seeds
, 20–21, 27–28

advantages of
, 27–28

disadvantages of
, 28

UAA
, 115–116

University of Derby (UoD)
, 115–116

V44 batteries

Arduino runtime from
, 72

technical specification of
, 72

VegHands
, 7–8, 14

Veracruz
, 41–42

Volumetric water content (VWC)
, 60–61

Water conservation
, 111

Wireless sensor network (WSN)
, 52–73, 84, 113–114, 115–118, 163, 164, 166

description and functions
, 85

sensors
, 55–65

EC-05 (soil moisture sensor)
, 61–65

5TM (soil temperature and moisture sensor)
, 60–61

GS3 (electrical conductivity sensor)
, 61

HMP-60 (humidity and temperature probe sensor)
, 60

SP-212 (solar radiation sensor)
, 60

structure of
, 54

system architecture of
, 55

XBee PRO Series 1
, 59, 67, 77–80, 121, 163, 164, 165, 166, 167

hardware components
, 73

Yucatán
, 42

Zacatecas
, 42

Zigbee network
, 118

Zigbee S2C modules
, 141–142, 143