Plant diseases present a major threat to agricultural production, potentially leading to crop yield reduction, quality degradation, and significant agricultural economic losses. Accurate disease diagnosis is the prerequisite for effective prevention and control. It requires combining multi-dimensional information—including plant phenotypic characteristics and growth environments—to quickly pinpoint the cause and formulate response strategies.

We integrates the entire technical chain of "Phenotype Recognition - Molecular Detection - Remote Identification - Data Support" to construct a comprehensive plant disease detection solution. Covering all scenarios from field screening to precise laboratory identification, the solution facilitates early discovery, early diagnosis, and early control of diseases, helping agricultural research institutions, planting enterprises, and plant protection departments enhance their disaster prevention/mitigation capabilities and intelligent management standards.

We provides dedicated fluorescence quantitative PCR (qPCR) detection kits for plant diseases. These kits can detect high-incidence diseases in agricultural products such as citrus, rice, and potatoes. Requiring no complex pre-treatment, they drastically shorten the detection cycle and ensure precise, reliable diagnostic results.

To guarantee the stability of the detection workflow and the reliability of results, we offers two categories of core quality controls, covering quality control across the entire experimental chain:

• Viral Nucleic Acid Quality Controls / Reference Standards: Used to verify nucleic acid extraction efficiency and PCR amplification validity, ensuring compatibility between reagents and instruments during the detection process.

• Metagenomic Sequencing Quality Controls: Provide accurate quality references for metagenomic sequencing experiments to eliminate sequencing errors.

Integrating AI image analysis technology, this system is specifically designed for field crop yield estimation and seed phenotyping in agriculture. It captures images via high-resolution camera equipment and utilizes intelligent algorithms to automatically calculate data such as seed count, area, perimeter, length, width, aspect ratio, and thousand-grain weight. It is widely applicable to the precise seed phenotyping and insect population counting analysis for crops like rice, wheat, rapeseed, soybean, and corn. It is also compatible with counting smooth-surfaced insects and insect eggs, empowering agricultural research and production management.

This system supports collaborative operations between frontline port personnel and remote experts. It allows users to remotely control image capture equipment to precisely acquire key characteristic details of samples, and supports simultaneous online identification and evidence confirmation by multiple users. The system utilizes encrypted cloud storage to ensure data security, features stable network performance alongside a clean user interface, and is compatible with multi-terminal devices, effectively facilitating the rapid, efficient, and precise identification of pests and pathogens.

Equipped with multiple ultra-high-precision temperature sensors and dual PID technology, delivering industry-leading heating/cooling rates, temperature uniformity, and accuracy.

Features a balanced, broad-spectrum LED light source to ensure efficient excitation across all channels, alongside a highly sensitive sCMOS detector capable of rapidly reading extremely weak fluorescence signals; supports fluorescence channel expansion.

Boasts a powerful software system with a built-in gene expression analysis module and MIQE logging functionality, providing integrated data analysis, statistics, and publication tools.

Supports touch screen/remote control, automatically sends data reports via email, and shuts down upon command, making operation intelligent and convenient.

Advantages of dPCR Absolute Quantitation and Its Applications in Pathogen Detection:

• Accuracy Independent of Reference Standards: Ideal for value assignment of pathogen quality controls and reference materials.
• Objective and Quantified Cut-off Values for Quantitative Results: Excellent for reviewing and verifying gray-zone results generated by qPCR or other technical methods.
• Higher Data Precision and Sensitivity: Perfect for the validation of sequencing results and mutation sites.
• Minimal Impact from Amplification Efficiency & High Tolerance to PCR Inhibitors: The methodological advantage of direct detection of pathogenic microorganisms in complex samples can solve certain specialized testing needs.

• Early Discovery & Control to Minimize Losses: Portable instruments enable real-time field disease screening. Combined with high-sensitivity PCR detection, they catch low-abundance pathogens early, preventing large-scale disease outbreaks.
• Quantfying Disease Impacts to Guide Decision-Making: The automated seed phenotyping system and 3D imaging systems quantify the impact of diseases on crop yield and quality, providing data support for adjusting plant protection strategies.
• Integrating Expert Resources to Empower Grassroots Capabilities: The remote identification system channels the expertise of national-level experts down to the front lines via the internet, solving the problem of insufficient identification experience among grassroots plant protection personnel.
• Building Data Archives to Aid Long-term Management: The digital resource database for pests and pathogens can record regional disease occurrence trends, providing long-term data accumulation for the formulation of regional plant protection policies and crop variety improvement.