Abstract
Soil fertility plays a vital role in the soil's capacity to support plant growth. It is assessed through various factors, including macro and micro nutrients, water content, and pH levels. Each harvest depletes soil nutrients, necessitating their replenishment, often through the use of fertilizers. Farmers typically estimate the required fertilizer amounts, but applying too much or too little can negatively impact plant health and lower yields. Although soil testing is a common practice for monitoring nutrient levels, it can be time-consuming and yield inconsistent results between laboratory tests and field conditions. To address these issues, a new soil testing tool with temperature, color, and pH sensors provides real-time information on soil parameters like temperature, pH, and color. This tool offers a more precise and effective substitute for conventional soil testing techniques.
| Original language | English |
|---|---|
| Title of host publication | 2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1786-1790 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798331505745 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Bangkok, Thailand Duration: 10-03-2025 → 12-03-2025 |
Publication series
| Name | 2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings |
|---|
Conference
| Conference | 2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 10-03-25 → 12-03-25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Health Informatics
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Information Systems and Management
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