Measurement of the spectral characteristics of rhizosphere soil microbial activity and metabolic levels, and micro-light visual expression.
Microorganisms, as the most abundant and diverse organic living entities in soil, play a crucial role in maintaining soil health. They include bacteria, fungi, and actinomycetes, which drive the cycling of elements such as carbon, nitrogen, phosphorus, and sulfur. These processes are closely related to plant primary productivity and soil health. This project utilizes digital spectral micro-light information technology to collect signal spectra of the metabolic activity and products of rhizosphere microorganisms in the soil of plants and to establish a data model. This allows for the assessment of the activity of soil microorganisms and the rhizosphere environment, and the inference of soil health.
Biotechnology And National Health
Technologies for soil medium
If the calculation starts from the research and development phase, it usually takes 24 months or more. This includes the determination of technical solutions, parts selection and procurement, software development and debugging, product assembly and testing and other links. During the development process, there may be technical difficulties to overcome, which will also extend the implementation time. It has been in practice for 12 months now and there is still some work to be done.以上翻译结果来自有道神经网络翻译（YNMT）· 通用场景
Heilongjiang, China
The RGB spectral detection technology has distinct advantages in the study of soil microbes, which mainly include: 1. **Non-destructive Testing**: The RGB spectral technique can perform testing without destroying the soil sample, which is crucial for maintaining the integrity of soil structure and microbial ecology. 2. **Rapidity**: Compared to traditional chemical analysis methods, RGB spectral technology can quickly obtain spectral information from soil samples, thereby rapidly assessing the activity of soil microbes and the health status of the soil. 3. **High Sensitivity**: RGB spectral technology can detect minor spectral changes caused by the activity of soil microbes, aiding in the early identification of trends in microbial changes. 4. **Cost-effectiveness**: Generally, RGB spectral technology is less expensive and easier to operate than laboratory analyses that require costly equipment and complex operations, making it suitable for large-scale soil monitoring. 5. **Real-time Monitoring**: RGB spectral technology can be used for real-time monitoring of changes in soil microbes, which is invaluable for agricultural production and environmental management. 6. **Data Integration**: RGB spectral data can be integrated with other types of soil data, such as soil temperature, moisture, and pH values, to provide a more comprehensive soil health assessment. 7. **Machine Learning and Model Establishment**: Prediction models can be established from RGB spectral data to soil microbial activity through machine learning algorithms, improving the accuracy and efficiency of detection. In terms of detection effects, the application of RGB spectral technology in soil microbial research is still in its developmental stage but has shown great potential. Through RGB spectral data, researchers can better understand the structure and function of soil microbial communities and their responses to environmental changes. Additionally, RGB spectral technology can be used to assess the impact of soil management practices on microbial diversity and activity, providing a scientific basis for soil health and ecological restoration. However, RGB spectral technology also faces some challenges in soil microbial detection, such as difficulties in spectral deconvolution and susceptibility to environmental influences. Future research needs to further optimize algorithms, improve the accuracy of data processing, and explore the integration with other analytical techniques for a more comprehensive analysis of soil microbial components.
Heilongjiang Agricultural Engineering Vocational College
N.A.
