학술논문

An Integrating IoT for Intelligent Soil Analysis and Crop Optimization
Document Type
Conference
Source
2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), 2024 2nd International Conference on. :1-4 Mar, 2024
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Productivity
Technological innovation
Laboratories
Crops
Optimization methods
Medical services
Machine learning
Soil Analysis
Crop Optimization
Agriculture
Soil Health
Crop Suitability
IoT
Soil Fertility
Transformative Technology
Language
Abstract
A IoT-enabled soil analysis system revolutionizes traditional crop optimization methods by offering real-time insights into soil health and crop suitability. By integrating IoT technology with advanced algorithms, this device eliminates the need for time-consuming soil sample analysis in laboratories, providing instant recommendations for optimizing crop selection and enhancing soil fertility. This innovation empowers farmers to make cleared decisions, leading to increased agricultural productivity and the adoption of sustainable farming practices. Its highlights the design, calibration, and successful validation of this system in real-world soil analysis scenarios, showcasing its accuracy and potential for transforming agricultural practices.