Smart Plant Monitor for Sustainable Urban Farming

My project aims to create a Smart Plant Monitor for Sustainable Urban Farming that promotes sustainable urban agriculture globally.

BeginnerWork in progressOver 8 days240

Things used in this project

Hardware components

M5Stack FIRE IoT Development Kit (PSRAM 2.0)

M5Stack Time-of-Flight (ToF) VL53L0X Laser Ranging Unit (MCP4725/)

M5Stack Earth Module Grove Compatible Soil monitoring

SG90 Micro-servo motor

M5Stack Dlight Unit - Ambient Light Sensor (BH1750FVI-TR)

Software apps and online services

Qubitro

ThingSpeak API

Hand tools and fabrication machines

Scissors, Free Fall

Story

What is your project about?

Our project "Smart Plant Monitor for Sustainable Urban Farming" develops innovative solutions to solve challenges specific to urban gardeners in Singapore. Our team works on maximizing plant maintenance efficiency and producing technology solutions designed to boost resource utilization.

The key reason that motivated you to create this project was what?

The fundamental reason behind this work derives from my desire to support sustainable practices while helping compact gardeners develop better competencies. Singapore presents an exceptionally challenging environment to urban farmers because it combines very restricted space with erratic climate conditions. Our goal is to establish a green and resilient city through the effective tool provision to gardeners.

How does it work?

The implementation of urban gardens receives support from smart sensors alongside IoT devices. Smart sensors gather current data through qubitro about soil water content as well as environmental measurements including light intensity. The gardeners can access platform data through thingspeak. This website shows data regarding light exposure and moisture levels to optimally manage plants.

Our project operation is shown in images and videos that showcase sensors performing in the field alongside the user interface during monitoring. These visuals showcase the ease of use and the positive impact on plant health and resource efficiency.

Main M5stack flowchart

Secondary M5stack flowchart

Blocky diagram

M5Stack Data

from m5stack import *
from m5ui import *
from uiflow import *
import time
from m5mqtt import M5mqtt
import json

import unit

setScreenColor(0x222222)
earth_7 = unit.get(unit.EARTH, unit.PORTB)
servo_5 = unit.get(unit.SERVO, unit.PORTA)


moisture = None



image0 = M5Img(110, 70, "res/droplet.png", True)
label0 = M5TextBox(22, 21, "Moisture Level:", lcd.FONT_DejaVu18, 0xFFFFFF, rotate=0)
label1 = M5TextBox(234, 21, "Text", lcd.FONT_DejaVu18, 0xFFFFFF, rotate=0)



def buttonA_wasPressed():
  global moisture
  servo_5.write_angle(0)
  wait(4)
  servo_5.write_angle(90)
  pass
btnA.wasPressed(buttonA_wasPressed)


label1.hide()
m5mqtt = M5mqtt('2ccd482d-ad87-4b64-9bc1-03be4c4d7112', 'broker.qubitro.com', 1883, '2ccd482d-ad87-4b64-9bc1-03be4c4d7112', '1739333691334022897aae6f2909ae3f1b23f3d4523f6ad7033c92b79b74d161fd38516ee6d6284d3af3a8d93c17337206b', 300)
m5mqtt.start()
while True:
  moisture = earth_7.analogValue
  m5mqtt.publish(str('2ccd482d-ad87-4b64-9bc1-03be4c4d7112'), str((json.dumps(({'Moisture':(earth_7.analogValue)})))), 0)
  if moisture < 200:
    speaker.tone(1800, 200)
    rgb.setColorAll(0xff0000)
    servo_5.write_angle(0)
    label1.setText('Low')
    image0.changeImg("res/default.jpg")
  elif moisture >= 200 and moisture < 300:
    rgb.setColorAll(0x3366ff)
    label1.setText('Average')
  else:
    rgb.setColorAll(0x33cc00)
    servo_5.write_angle(90)
    image0.changeImg("res/default.jpg")
    label1.setText('High')
  wait(1)
  wait_ms(2)

from m5stack import *
from m5ui import *
from uiflow import *
from m5mqtt import M5mqtt
import json

import time
import unit


setScreenColor(0x222222)
light_3 = unit.get(unit.LIGHT, unit.PORTB)
tof_0 = unit.get(unit.TOF, unit.PORTA)


light = None
Plantheight = None



image0 = M5Img(103, 134, "res/default.jpg", True)
label2 = M5TextBox(39, 26, "Light:", lcd.FONT_DejaVu40, 0xFFFFFF, rotate=0)
label3 = M5TextBox(214, 47, "Text", lcd.FONT_DejaVu18, 0xFFFFFF, rotate=0)
label4 = M5TextBox(266, 112, "cm", lcd.FONT_Default, 0xFFFFFF, rotate=0)
label0 = M5TextBox(0, 89, "Distance:", lcd.FONT_DejaVu40, 0xFFFFFF, rotate=0)
label1 = M5TextBox(215, 99, "Text", lcd.FONT_DejaVu18, 0xFFFFFF, rotate=0)




m5mqtt = M5mqtt('34471889-3e7a-4fd7-9a55-226cffae70e1', 'broker.qubitro.com', 1883, '34471889-3e7a-4fd7-9a55-226cffae70e1', '1739339137679760396456757715b5a2d6b56515eb14d4b73dcae27e84f2c31b0c67a1670e672831d101e542bdf96f5c1ba', 300)
m5mqtt.start()
while True:
  light = light_3.analogValue
  Plantheight = (240 - (tof_0.distance)) / 10
  label1.setText(str(Plantheight))
  label3.setText(str(light))
  m5mqtt.publish(str('34471889-3e7a-4fd7-9a55-226cffae70e1'), str((json.dumps(({'Height':Plantheight})))), 0)
  if light < 400:
    rgb.setColorAll(0xff99ff)
    image0.changeImg("res/No sun.png")
  else:
    image0.changeImg("res/Sun.png")
    rgb.setColorAll(0x006600)
  wait(1)
  wait_ms(2)