Page 864 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

We propose this system(AI based) to leverage soil analysis for precision fertilization and crop
rotation strategies that enhance crop production, conserving resources and improving soil
sustainability for the future use.

3 Use case requirements

REQ-O1: Soil data collection- Soil sensors must capture pH, moisture, temperature and NPK
values continuously from the farm field.

REQ-O2: Transmission- Collected data should be transmitted securely via Wi-Fi to the remote
sever (Database )
REQ-O3: Machine learning model-The model should fetch the collected data from database
for processing and analysing to provide recommendations and advises.

REQ-O4: User friendly interface- To interact with system to see reports and results

4 Sequence diagram

5 References

[1] Abinaya, P., A. Faaiza, S. Tharshni, G. Vishali, M. Aravindan, and D. G. Santhi. “Survey on
Soil Micro-Nutrients Analysis and Crop Recommendation System in Smart Agriculture.”
International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 03 (March
2024): Article no. 03. https:// doi .org/ 10 .47392/ IRJAEH .2024 .0066.
[2] Sankareswari, K., and G. Sujatha. “Crop and Fertiliser Recommendation System for
Sustainable Agricultural Development.” In Intelligent Robots and Drones for Precision
Agriculture, edited by S. Balasubramanian, G. Natarajan, and P. R. Chelliah, 327–49.
Cham: Springer Nature Switzerland, 2024. https:// doi .org/ 10 .1007/ 978 -3 -031 -51195 -0
_16.
[3] Plantix. n.d. Accessed June 19, 2025. https:// www .plantix .net/ .
[4] CropIn. n.d. Accessed June 19, 2025. https:// www .cropin .com/ .

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