Javier AcevedoCristian
Published © MIT

Hydroponic Agriculture Learning with SensiML AI Framework

New methodologies of horticulture based-on high-end technology are urgently required to transform the way in which the world is fed.

IntermediateFull instructions provided3 days932

Things used in this project

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Schematics

Collecting data scheme

Collect data from the quickfeather and transfer it to the raspberry pi

Inference mode

Inference mode running on battery

Code

Led ON/OFF

C/C++
Turn on/off the led
// If prediction ON
if ((int)classification == 1) {
  HAL_GPIO_Write(GPIO_6, 1);
} else {
  HAL_GPIO_Write(GPIO_6, 0);
}

ADC source code

C Header File
qorc_ssi_adc.begin();
//Set parameters for sample rate to read ADC
qorc_ssi_adc.setSampleRate(sensor_ssss_config.rate_hz);
int16_t *p_adc_data = (int16_t *)p_dest;
int16_t chanA0 = qorc_ssi_adc.getSingleEnded(0); //pH
int16_t chanA1 = qorc_ssi_adc.getSingleEnded(1); //Soil Moisture
int16_t chanA2 = qorc_ssi_adc.getSingleEnded(2); //Temperature

Credits

Javier Acevedo

Javier Acevedo

3 projects • 1 follower
Cristian

Cristian

6 projects • 6 followers

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