AI Powered Agronomy

Description

AI Agronomy: AI Agronomy is a cloud-based platform that uses artificial intelligence to provide farmers with recommendations on crop selection, fertilizer application, and other agricultural practices. MazaoHub AI Agronomy is trained on a massive dataset of soil using MazaoHub soil sensors and crop data, and it generates customized recommendations for each farmer.

Steps involved in AI Agronomy services offered by MazaoHub:

• Land preparation: The AI Agronomy tool can recommend the best crops to grow in a particular soil based on the soil reports, the amount of fertilizer to apply, how to apply and the best time to apply it. The tool also recommends pest and disease management practices, irrigation schedules, and harvesting methods.
• Sowing: The AI Agronomy tool recommends the best sowing method for a particular crop, the depth to sow the seeds, and the spacing between plants.
• Fertilizer application: The AI Agronomy tool recommends the best fertilizer to apply, the amount of fertilizer to apply, and the best time to apply it.
• Water management: The AI Agronomy tool recommends the best irrigation schedule for a particular crop connected with sensors, the amount of water to apply, and the best way to apply it.
• Pest and disease management: The AI Agronomy tool recommends the best pest and disease control methods for a particular crop, the timing of treatment, and the best way to apply the treatment.
• Harvesting: The AI Agronomy tool recommends the best harvesting method for a particular crop, the time to harvest, and the best way to store the harvested crop.
• Post-harvest handling: The AI Agronomy tool recommends the best post-harvest handling practices for a particular crop, such as drying, grading, and packaging.
• Storage: The AI Agronomy tool recommends the best storage conditions for a particular crop, such as temperature, humidity, and light exposure.                                                                                                                                                                                                         

How Extension officers from each village collect information and feed MazaoHub AI Agronomy:

• • Extension officers from each village collect information from farmers about their crops, such as the type of crop, the amount of fertilizer applied, the amount of water used, and the yield of the crop.
  • The extension officers then enter this information into the MazaoHub AI Agronomy platform.
  • The MazaoHub AI Agronomy platform uses this information to improve its recommendations to farmers.
• How AI Agronomy becomes very accurate just like real agronomist giving extension service to the farmer:
  • The MazaoHub AI Agronomy platform is constantly being trained on new data. This data comes from farmers, extension officers, and other sources.
  • As the platform is trained on more data, it becomes more accurate in its recommendations.
  • Eventually, the MazaoHub AI Agronomy platform can become as accurate as a real agronomist giving extension service to the farmer.

Data Collection Process:

Extension officers play a crucial role in collecting data for MazaoHub's AI Agronomy Module. Here's how the process works:

1. Training Extension Officers: Extension officers from each village are trained to use the MazaoHub platform. They are provided with smartphones or tablets equipped with the MazaoHub app.
2. On-Field Data Collection: Extension officers visit farms regularly to collect data. They input information about crop health, soil conditions, weather observations from Meteo Agency, and any issues observed during their field visits.
3. Image and Sensor Data: They can capture images of crops, soil samples using MazaoHub Sensors, and use sensors to measure environmental factors. This data is uploaded to the platform.
4. Data Synchronization: The collected data is synchronized with the central MazaoHub database, where AI algorithms analyze and process it.
5. AI Recommendations: Based on the collected data and historical trends, the AI generates recommendations for each farmer.
6. Feedback Loop: Extension officers relay these recommendations to farmers, and their feedback is also recorded. This feedback loop helps improve the accuracy of AI recommendations over time.

Steps Involved in AI Agronomy Services by MazaoHub:

The AI Agronomy services offered by MazaoHub follow the 12 key steps of Good Agricultural Practices (GAP):

1. Land Preparation: Soil analysis determines the need for land preparation, including plowing and leveling.
2. Sowing: The platform suggests the optimal planting time and spacing based on weather and soil conditions.
3. Crop Selection: AI recommendations include the choice of crop varieties suitable for the region.
4. Fertilization: Precise fertilizer recommendations are given based on soil nutrient levels.
5. Irrigation: Weather forecasts and soil moisture data guide irrigation scheduling.
6. Weed Management: Recommendations for weed control, including the use of herbicides or manual weeding.
7. Pest and Disease Control: AI helps identify and manage pests and diseases, suggesting suitable treatments.
8. Crop Monitoring: Continuous monitoring tracks crop growth and health.
9. Pruning and Thinning: Guidance on crop maintenance practices like pruning and thinning.
10. Harvesting: AI determines the optimal time for harvesting based on crop maturity.
11. Post-Harvest Handling: Guidelines for proper post-harvest handling, including sorting and packaging.
12. Storage and Marketing: Recommendations for storage conditions and market access.