Sumit KumarShubham
Published © MIT

TensorCrop - Crop Quality and Farm Control

Using ML to detect pests, mosquitoes, cutting trees using audio analysis. Also predicting fire, greenhouse adaptation and plant growth.

IntermediateFull instructions provided15 hours3,364

Things used in this project

Hardware components

SparkFun RedBoard Artemis ATP
SparkFun RedBoard Artemis ATP
Apollo3 powered board having turbo execution mode which elevates its ML based usage. It has on board microphone which can be easily integrated with Tensorflow for voice learning capabilities.
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SparkFun Environmental Combo Breakout - CCS811/BME280 (Qwiic)
SparkFun Environmental Combo Breakout - CCS811/BME280 (Qwiic)
A good sensor having multiple capabilities including temperature, humidity and CO2 along with TVOC or air quality detection with a greater accuracy.
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SparkFun Proximity Sensor Breakout - 20cm, VCNL4040 (Qwiic)
SparkFun Proximity Sensor Breakout - 20cm, VCNL4040 (Qwiic)
It can not only measure distance but also measure ambient light levels along with white light levels.
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Gravity:SHT1x Humidity and Temperature Sensor
DFRobot Gravity:SHT1x Humidity and Temperature Sensor
SHT10 sensor will be used to determine soil moisture content.
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Ultrasonic Sensor - HC-SR04 (Generic)
Ultrasonic Sensor - HC-SR04 (Generic)
This is a basic sensor which uses ultrasound echo or SONAR principle to find out the relative distance between the obstacle and the sensor.
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Rotary Encoder with Push-Button
Rotary Encoder with Push-Button
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SparkFun Micro OLED Breakout (Qwiic)
SparkFun Micro OLED Breakout (Qwiic)
A quiic OLED for Redboard Artemis ATP
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Software apps and online services

TensorFlow
TensorFlow
Arduino IDE
Arduino IDE
Google Colab Notebook
Audacity

Hand tools and fabrication machines

Plier, Long Nose
Plier, Long Nose
Tape, Double Sided
Tape, Double Sided
Drill, Screwdriver
Drill, Screwdriver
Wire Cutter / Stripper, 5.25 " Overall Length
Wire Cutter / Stripper, 5.25 " Overall Length

Story

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Schematics

Audio_ML

PlantGrowth_ML

Greenhouse_ML

FireML

Code

SparkFun_ML

Credits

Sumit Kumar

Sumit Kumar

32 projects • 94 followers
19 y/o. My daily routine involves dealing with electronics, code, distributed storage and cloud APIs.
Shubham

Shubham

6 projects • 9 followers
Turned 20 and can't resist myself from learning and using AI. Learning to tackle global problems.

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