Add AI Based smart predicitve farming :AI-Based Smart Predictive Farm… #30
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…ing predicts weather conditions 2 days in advance using real-time sensor data and AI analytics.
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Pull request overview
This pull request adds an AI-Based Smart Predictive Farming application that uses the SI70xx temperature and humidity sensor to collect environmental data and perform weather predictions. The application reads sensor data periodically (every 2 seconds) via I2C communication and outputs the readings through serial console for real-time monitoring.
Changes:
- Integration of SI70xx sensor driver with I2C communication protocol
- Periodic data collection timer implementation using sleep timer functionality
- Serial console output for environmental monitoring
- Project configuration files and build system setup
Reviewed changes
Copilot reviewed 43 out of 48 changed files in this pull request and generated 2 comments.
Show a summary per file
| File | Description |
|---|---|
| si70xx_example.c | Core sensor integration logic with I2C communication and periodic sampling |
| si70xx_example.h | Function declarations for sensor initialization and data processing |
| app.c / app.h | Top-level application entry points calling sensor example functions |
| main.c | Standard main loop with system initialization and power management |
| readme.md | Documentation describing setup, configuration, and testing procedures |
| config/* | Configuration headers for I2C, DMA, sleep timer, and stack size settings |
| autogen/* | Auto-generated build artifacts including linker scripts and component catalogs |
| *.slcp, *.slps, *.slpb, *.pintool | Project configuration and build specification files |
Comments suppressed due to low confidence (1)
projects/bluetooth/AI Based smart predictive farming/readme.md:1
- The readme path is duplicated on lines 10 and 11 in the sl_si91x_si70xx_2.slcp file. Remove the duplicate entry to avoid confusion and potential build issues.
# SL SI70XX
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| *(.dtors) | ||
| *(.rodata*) | ||
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| KEEP(*(.eh_fram e*)) |
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Corrected spelling of 'fram e' to 'frame'.
| KEEP(*(.eh_fram e*)) | |
| KEEP(*(.eh_frame*)) |
| DEBUGOUT("Sensor initialization un-successful, Error Code: 0x%ld \n", status); | ||
| break; | ||
| } else { | ||
| DEBUGOUT("Successfully reset sensor\n"); |
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The debug message at line 197 indicates "Successfully reset sensor" but this appears after reading the second byte of the electronic ID (SL_EID_SECOND_BYTE), not after a reset operation. The correct message should be "Successfully read electronic ID second byte\n" to accurately reflect the operation being performed.
| DEBUGOUT("Successfully reset sensor\n"); | |
| DEBUGOUT("Successfully read electronic ID second byte\n"); |
1 participant
This pull request adds the SI AI-Based Smart Predictive Farming application, which uses real-time temperature and humidity data from the SI70xx sensor to predict weather conditions up to 2 days in advance using AI-based analytics. The goal is to help farmers take early preventive actions and reduce crop losses.
Changes Made
Added SI70xx temperature and humidity sensor integration via I2C
Implemented periodic environmental data collection (every 2 seconds)
Introduced AI-based logic for short-term weather prediction
Added serial console output for real-time monitoring
Included project documentation and setup instructions