Page 863 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

into soil and nutrient contents, helping farmers make informed decisions and improve their
productivity

Existing system suggests only suitable crop to plant, as a result, farmers may follow the
recommended crop choices but experience low yields due to a lack of essential nutrients in Agriculture 4.11: Smart
the soil. Furthermore, these systems do not provide fertilizer guidelines and crop planning
scheme leading to nutrient imbalances and potential environmental harm.

The objectives and aims of this use case are:

• To design an IoT-based soil analysis system that can measure key soil parameters.
• To develop Machine-learning algorithms (Random Forest Classifier) capable of processing
and analyzing soil data.
• To develop a fertilizer system that identifies the type of crop being cultivated, analyzes
soil nutrients, and suggests suitable fertilizers.
• To create a user-friendly dashboard interface that allows farmers to easily access soil
analysis reports and recommendations.

This innovative approach operates by collecting soil data through sensor JXCT Soil NPK Sensor
RS485 that measure key soil parameters, including pH, moisture, temperature, and nutrient
levels (N, P, K). The collected data are preprocessed by a microcontroller and then transmitted
to a remote server for analysis via Wi-Fi. The remote server hosts Database and machine-
learning algorithms that analyze soil quality and determine the nutrient requirements of a given
crop or suggest the most suitable crop to cultivate. Based on this analysis, the system generates
actionable recommendations for farmers, including the type and quantity of fertilizers needed,
suitable crop suggestions, and crop rotation schedules.

Partners

• Tanzania Agricultural Research Institute (TARI).
• Tanzania Fertilizer Regulatory Authority (TFRA) Sokoine University of Agriculture (SUA)

2�2 Benefits of the solution

1. To improve and boosts production and farmer income. This help farmer to improve yield
by providing advanced fertilizer advice based on real time soil data. This will enable better
productivity even in smallholder farmer and farmer income.
2. To promote optimized use of agricultural resources.
3. To reduce fertilizer overuse. Optimizing fertilizer use reduces greenhouse gas emissions
also to support agriculture by improving resilience to weather patterns.
4. Preserves soil health and biodiversity. Promotes soil conservation and biodiversity by
reducing harmful agricultural practices.

2�3 Future work

Currently, soil analyzer systems only suggest suitable crops based on basic soil parameters such
as pH and moisture. However, these systems fail to account for critical factors such as nutrient
deficiencies and fertilizer requirements. As a result, farmers may follow the recommended
crop choices but experience low yields due to a lack of essential nutrients in the soil. We
address these challenges by providing fertilizer guidelines and crop planning scheme leading
to nutrient balances and reduction of potential environmental harm in the farm.

827