IoT for Agriculture in a Nutshell: Technical Perspective
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The document discusses the Internet of Things (IoT) in agriculture, emphasizing precision farming and technology integration to enhance crop and livestock yield through data-driven analytics. It highlights key technologies, market opportunities, and various IoT applications, including sensors and devices for smart farming. Additionally, it presents infrastructure for IoT connectivity and ecosystem development in Indonesia’s agricultural sector.
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IoT for Agriculture in a Nutshell: Technical Perspective
- 1. Internet of Things for Agriculture in a Nutshell: Technical Perspective INDONESIA MINISTRY OF AGRICULTURE KOORDINASI TIK - SURABAYA, OCT 5, 2017
- 2. fb.com/andri.yadi | a at dycode dot com http://andriyadi.me | http://dycodex.com Andri Yadi github.com/andriyadi
- 3. x@dycode.com | http://dycodex.com IoT & maker movement enabler CEO by DyCode
- 5. I won’t talk about how to be entrepreneur Disclaimer I’m NOT a farmer
- 6. What do you see here?
- 7. Just a field of sheep?
- 8. Or multi-billion dollar industry?
- 9. 10 Billion in 2050 How do you feed them?
- 10. Precision Agriculture Precision Ag. / Precision Farming Data-driven form of farming that uses analytics to inform decisions and optimize yields - to grow crops or raise livestocks. Key techs: • Variable rate technology (VRT) • GPS soil sampling • Remote sensing • GPS-guided autonomous vehicles (drones, robots)
- 11. $5.9BN 12% 18% Global market value in 2021 Global market CAGR until 2021 Annual increase in profit when using Precision Ag. Market Key Numbers
- 14. Internet of Things How can it help?
- 15. What is IoT?But first…
- 16. “Network of physical objects with embedded electronics, software, sensors, actuators, and network connectivity which enable them to collect and exchange data, to create intelligent applications and services„ Internet of Things
- 17. Things Connectivity People & Processes Data Data Internet of Things (Sensors, actuators, MCU/MPU, network, energy, firmware) (PAN, LPWAN, Cellular) (IoT Cloud, Machine Learning, AI)
- 18. Common IoT Architecture Radio Gateway Processing Internet Connectivity Cloud-sideEdge-side Ingestion & StorageThings Visualization User-side Apps
- 19. Sensors MCU/MPU Energy Source Actuators Network Interface Firmware Things
- 21. Key techs: • Looks good • Solar-powered • WiFi connectivity • Sensors: light, moisture, nutrition, and temperature Edyn Garden Sensor
- 23. Maker’s products for Smart Farming BuzzBox Tertill
- 24. Temperature, Humidity, Atmospheric Pressure Luminosity (light) Leaf wetness Soil Temperature Trunk, Stem, Fruit Diameter Dendrometer Solar & Ultraviolet Radiation Wind speed & direction Rain gauge GPS Sensors
- 25. Fruit Diameter Dendrometer Sensors & Smart Irrigation
- 26. ESP8266Arduino ESP32 EspruinoParticle.io Photon, Electron Bluino MXChip IoT DevKit Raspberry Pi and many many more… MCU/MPU & Dev Boards
- 27. DycodeX’s “Things” Creation LoRa HAT LoRa Shield ESPectro DevBoard LoRa backpack Motor backpack A/C control backpack ESP32 breakout Alora Sensor Kit ESPectro Base Rainbowrd DevBoard Magic Button LoRa gateway HAT LoRa gateway Tracker (Cellular) Tracker (LoRa)
- 28. 3.5mm Audio Connector Rain Gauge Connector Wind Speed & Direction Connector Magnetic Sensor I2C Grove Battery Connector Buzzer Reset Button GPS Antenna IMU Sensor LED GPS Timemark Neopixel LED I2S Codec IO Expander IO Expander LED Air Quality Sensor Raspberry Pi Pin I2S MicLight Sensor Temperature & Humidity Sensor ArduinoPinGPIOExpader(SX1509)Pin SCL_5V SDA_5V NC GND SCLK_5V MISO_5V MOSI_5V CS_5V NC TM_GPS D7 D6 D5 D4 MAGNETIC SX1509_INT TX_5V RX_5V BUZZER(viaSJ3) C C D C L R D C V D N 3 C C NC NC RST 3V3 5V GND GND VIND7 D6 D5 D4 D3 D2 D1 D0 AREF GND SCL SDA D13 D12 D11 D10 D9 D8 A0 A1 A2 A3 A4 A5 IOX0 IOX1 IOX2 IOX3 IOX4 IOX5 IOX6 IOX7 IOX8 IOX9 IOX10 IOX11 IOX12 IOX13 IOX14 IOX15 CCS811_WAKEUP RTC_INT RAINSENSOR TSL25911_INT ENVIROSENSE_EN GESTURE_EN CCS811_EN IMU_EN MAGNETIC_INT IMU_INT GESTURE_INT CCS811_INT GPS_EN MIC_EN VEML6070_INT P8_GROVE P8_GROVE AUDIO_EN(viaSJ21) LED Back Digital Grove Connector 3.5mm Audio Connector Analog Grove Connector I2C Grove Connector Real Time Clock Arduino Pin Arduino Pin GPS Battery Connector Neopixel LED IO Expander Sensor I2S MicLight Sensor Temperature & Humidity Sensor Alora Board: Sensors & Actuators by DycodeX
- 30. Front Header2x20ESP32breakoutPins 5V GND IO2 IO0 IO5 IO12 3V3 IO22 IO21 GND IO19 IO18 IO23 IO34 3V3 IO17 IO13 IO16 IO4 CHIP-EN SCL SDA VP 3V3 GND 7x7 Dot LED Matrix Modulated by Charlieplexing Using IS31FL3731 Built-in RGB Neopixel connected to IO27 LED Built-in connected to IO15 Reset Button LED Power Muted silicone button connected to IO0 and also provide capacitive touch area above the button using IO13 I2C Breakout pin with 2.54mm pitch Micro SD Card Slot SPI communication Photo Transistor using KDT00030TR ESP32 Breakout pin slot ES I2S Breakout Connector Muted silicone button connected to IO4 and also provide capacitive touch area above the button using IO2 Micro USB Connector for A B I I I G I I I I I I G IO14 I I CHIP I I G TOUCH7 TOUCH1 TOUCH6 TOUCH5 TOUCH3 I2C SCL I2C SDA ADC1 CH7 U2RXD U2TXD SPI MOSI SPI MISO SPI SCLK DAC1 5V GND IO2 IO0 IO5 IO12 3V3 IO22 IO21 GND IO19 IO18 IO23 IO34 3V3 IO17 IO13 IO16 IO4 CHIP-EN SCL SDA VP 3V3 GND LED Built-in connected to IO15 Reset Button LED Power Muted silicone button connected to IO0 and also provide capacitive touch area above the button using IO13 I2C Breakout pin with 2.54mm pitch Micro SD Card Slot SPI communication Photo Transistor using KDT00030TR ESP32 Breakout pin slot I2S Breakout Connector Muted silicone button connected to IO4 and also provide capacitive touch area above the button using IO2 Micro USB Connector for A B ESPectro32: Front by DycodeX
- 31. Back 5V GN IO IO IO IO1 3V IO2 IO2 GN IO1 IO1 IO2 IO3 3V IO1 IO1 IO1 IO CHIP- SCL SDA VP 3V3 GND GND 5V GND IO1 IO3 3V3 IO15 IO14 D+ D- IO25 IO26 IO33 IO32 IO35 IO27 3V3 IO36 IO39 VBATT GND 3V3 VP SDA SCL Microcontroller based on ESP32 MCU, WiFi, and Bluetooth Module ESP32 UART Breakout Pin I2C Grove GPIO’s Grove Battery Connector DC 6V Max Charlieplexing Module ChannelB Breakout Pin 5V GND IO2 IO0 IO5 IO12 3V3 IO22 IO21 GND IO19 IO18 IO23 IO34 3V3 IO17 IO13 IO16 IO4 CHIP-EN SCL SDA VP 3V3 GND ESPectro32: Back by DycodeX
- 32. Things Analog 1-Wire 2-Wire (I2C) SPI Sensor/Actuator MCU Let’s Have A Demo
- 33. Reading data from Alora sensors Demo Architecture 2-Wire (I2C)
- 34. Energy Source Mains (AC) Batteries Super/Ultra Capacitors
- 35. Energy Harvesting Solar Heat Vibration RF
- 36. Energy Harvesting - RF P2110B Powerharvester® Receiver Low RF input for longer range operation RF harvesting range down to -11dBm input power Frequency range from 850-950MHz Configurable regulated output voltage up to 5.5V Up to 50mA output current
- 37. Connectivity
- 38. Communication Technologies - Overview Mbps Kbps bps 10 m 100 m 1 km 10 km Baud rate Range Wi-Fi / BT Short Range LPWAN ST Confidential Cellular -M -NB-IOT 5G 850/1900 MHz 900/1800 MHz Sub-GHz 2.4 GHz WIFI/BT Short Range LPWAN Cellular IoT Connectivity: Range vs Speed
- 39. Cellular Range Battery Life LONG SHORT LONG Local network (WiFi, ZigBee, Z-Wave) Personal network (Bluetooth) Low-Power Wide-Area Network (LPWAN: Sigfox, LoRa, Dash7) Source: Alexander Vanwynsberghe, Blog article 'Long-range radios will change how the Internet of Things communicates' IoT Connectivity: Range vs Power
- 40. LPWA Designed specifically to support IoT
- 41. What is LPWA Low Power, Wide Area Networks Low data throughput = High sensitivity = Long range Relatively low cost Multiple Access = One-to-Many Architecture Using licensed or unlicensed spectrum
- 42. License-free/Unlicensed Spectrum EC- -m Licensed Spectrum LPWA: Technologies
- 44. LoRa LoRaWAN Gateway Network Server Your Application Servers Internet (IP/UDP)Node LoRa/LoRaWAN Architecture MQTT 9B 09 05 24 4B 1D 18 09 32 1E 65 A3 00 00 79 01 FF FF 55 B8 D2 BB AB 47 4A 00 C7 02 E5 FE D6 FF F6 FF F5 FF 2B E2 50 00 9B 09 05 24 4B 1D 18 09 32 1E 65 A3 00 00 79 01 FF FF 55 B8 D2 BB AB 47 4A 00 C7 02 E5 FE D6 FF F6 FF F5 FF 2B E2 50 00 { “lux”, 31.21, “temp”: 23.21, “lat”: -6.121, … } Edge-side Cloud-side Node
- 45. BASE Online Dashboard Cellular Tower SMS Alerts Robo-Call How it works.. Solar powered base with 4 km range Waterproof, rugged smart collar Use Case Real-time Tracking Health Monitoring Yield Improvement
- 47. MCU: Atmel SAMD21 IMU* & Temperature Sensor LoRa Module Battery Gauge Battery Charger Battery Connector *IMU = Inertial Measurement Unit: accelerometer, gyroscope Board: Trackattle
- 48. Dashboard
- 49. Based on Tracker by DycodeXGet One at: https://shop.makestro.com/product/tracker/
- 50. 3 - 5km LoRaWAN Gateway Network Server Application Server Cellular (3G/4G)Tracker Node Trackattle Architecture Makestro Cloud Edge-side Cloud-side
- 51. Processes
- 52. Ingestion Analytics + Machine Learning Storage Dashboard Device Management API Message Broker Apps 3rd party systems on Cloud-side Processes Stream Analysis
- 53. Azure IoT Hub and a whole lot more… IoT Cloud Platform
- 54. Local IoT Cloud Platform Makestro Cloud by DycodeX by Telkom Yours? :)
- 55. LoRa/LoRaWAN + Azure Demo LoRa LoRaWAN Gateway (Your) Bridge Cellular Cloud-side Sensor Node Azure IoT Hub Edge-side Network Server MQTT AMQP 9B 09 05 24 4B 1D 18 09 32 1E 65 A3 00 00 79 01 FF FF 55 B8 D2 BB AB 47 4A 00 C7 02 E5 FE D6 FF F6 FF F5 FF 2B E2 50 00 9B 09 05 24 4B 1D 18 09 32 1E 65 A3 00 00 79 01 FF FF 55 B8 D2 BB AB 47 4A 00 C7 02 E5 FE D6 FF F6 FF F5 FF 2B E2 50 00 { “lux”, 31.21, “temp”: 23.21 } { “lux”, 31.21, “temp”: 23.21 } MQTT Ingestion & Storage
- 56. LoRa/LoRaWAN + Azure Demo (Your) Bridge Cloud-side Azure IoT Hub Network Server MQTT AMQP { “lux”, 31.21, “temp”: 23.21 } { “lux”, 31.21, “temp”: 23.21 } MQTT Ingestion & Storage MQTT ?
- 57. Processing Cloud-side Ingestion & Storage Visualization Demo Architecture: Weather Forecast
- 58. Azure Stream Analytics Cloud-side Azure IoT Hub Azure Machine Learning Demo Architecture with Azure Power BI
- 59. DEMO Azure IoT Hub, Stream Analytics, Machine Learning, PowerBI https://github.com/dycodex/ESPectro32-Azure-Alora
- 60. Combines a comprehensive array of agriculture data from hardware and information providers into a single management and decision-making OnFarm
- 65. Implement Fuzzy Logic to determine how long to water the plant • Fuzzification - Input: Temperature - Input: Humidity - Output: Watering Duration • Fuzzy Rule • Defuzzification Fuzzy Logic
- 66. INPUT TEMPERATURE 0 0 1 1 1 0 25 30 35 40 Cold Normal Hot
- 67. INPUT HUMIDITY 0 0 1 1 1 0 237 380 570 712 950 Dry Humit Wet
- 68. OUTPUT WATERING DURATION 0 0 1 1 1 0 3 5 7 10 Short Medium Long
- 69. Cold Normal Hot Wet Fast Fast Medium Humid Fast Medium Medium Dry Medium Long Long Fuzzy Rules
- 70. Internet of Things So, how to start?
- 71. Make your own! BY SolvING your own problem Start with…
- 72. Be a maker!
- 73. Developer Skillset Edge-side Cloud-side Mobile side [Obj-C]
- 74. *Disclaimer: I have no data of all players in Indonesia yet. Sorry if you’re not listed. And I’m talking about electronics maker- related players Indonesia Indonesia Join Communities Indonesia
- 75. An Indonesia Platform for Maker: to “democratize” knowledge, hardware kit, and software to help makers to start making in hardware. To drive into Internet of Things Disclosure: it’s initiated by DycodeX
- 76. Learning Shop Community Software Projects, tutorials, videos, news, professional trainings Hardware marketplace from Maker for Maker: kits, devboards, maker tools IoT Cloud infrastructure, software libraries, sample code Offline meetups, seminars, training/hands-on, competitions
- 78. Use development board + modules!
- 80. x@dycode.com | http://dycodex.com IoT & maker movement enabler