A Robot for the Analysis of Plant Respiration and for the Verification of the Phenomenon of Chlorophyll Photosynthesis With Arduino

by pasqualepepe887 in Circuits > Arduino

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A Robot for the Analysis of Plant Respiration and for the Verification of the Phenomenon of Chlorophyll Photosynthesis With Arduino

Struttura.jpeg
Ancona project

Chlorophyll photosynthesis is a biological process in which solar energy is converted into chemical energy to support metabolic processes. The light energy absorbed by plants is stored in the form of chemicals with a high energy level. In green plants, in the presence of water (H20) the carbon dioxide (CO2) is transformed into organic carbon compounds (especially glucose) while the water releases oxygen. The O2 gas is taken up through the foliar epidermis, the stomata (from which the planta also supplies CO2, necessary for photosynthesis). Only a part of the carbohydrates is consumed in the respiratory processes, most of them are used as raw material for plant synthesis, freeing particular chemical openings of the cell. Can we prove and measure this with Arduino? Yes, we need two esp8266 Nodemcuce, two DHT11 temperature and humidity sensors, two MQ135 sensors, an account for Thingspeak, two or three plants (preferably fat) and a container for them. I enclose the scientific article in Italian presented at FabLearn in Ancona 2019

Building the Circuits

Collegamento Circuito Ancona.png

Two circuits must be created as shown in the figure. One to be placed inside the plant container and the other outside to compare the data.

Thingspeak Account

Configurazione Canale ThingSpeak.png

Now you need to create an account on Thingspeak which is an open-source platform that allows IOT projects with the support of MATLAB from MathWorks.

  1. Once this is done, you need to create a channel.
  2. Add 6 variables as in the figure
  3. Go to the Api key section and copy the channel number and your write api key

Upload the Code

Now upload the code making sure to change the WiFi SSID, the password, the API key and the channel number. For each circuit you make remember to load the right code. (external esp and internal esp)

Conclusion

analisi grafica dati.png

Just connect the system to the power and the data will begin to arrive on the channel. I advise you to keep it active for 48 / 72h. In this way it is possible to compare O2 during chlorophyll photosynthesis and during the night. for any information or details do not hesitate to contact me: pasqualepepe887@gmail.com