Crop Diagnosis,Agricultural crop protection,Agriculture, Forestry, Animal Husbandry and Fisheries,Production Operations and Inspections-Crop Diagnosis-Fanhan Information Technology ( Shanghai ) Co., Ltd

Manufacturer with a Drone-Based Hyperspectral AI Diagnostic System

Fanhan Technology has been deeply involved in agriculture for decades, possessing a strong R&D team. We utilize drone-based hyperspectral technology and AI algorithms to build a crop growth and nutrition diagnostic system. Based on multi-dimensional spectral data from drones, we provide agricultural growers with comprehensive monitoring of crop nutritional status throughout the entire growth cycle, enabling precise management.

Hyperspectral imaging technology combined with AI algorithms can accurately predict the spatial distribution of crop nutrients. The drone system can automatically identify the nutritional status of crops, generating fertilization and nutrient prescription maps through data comparison and analysis. This provides growers with intuitive data, allowing for on-demand fertilization and observation of crop growth, forming a closed loop of diagnosis, analysis, and execution.

Our agricultural drone solutions for crop growth and nutrition diagnostics have helped farm growers improve fertilizer utilization efficiency. We are committed to providing users with precise, on-demand fertilization operations, promoting sustainable agricultural development.

Agricultural Drone Solutions for Crop Growth and Nutritional Diagnosis

Facing complex field environments, the FH series drones can transform crop growth data into intuitive nutritional distribution maps, revolutionizing farmland management.

Hyperspectral deep analysis generates centimeter-level, precise crop nutrient distribution heatmaps；

Dynamic tracking throughout the growth cycle, multi-period data comparison, and quantitative assessment of growth differences;

AI diagnosis and prescription map generation, automatically identifying potential problems and generating variable fertilization prescription maps;

Multi-source data fusion analysis to build a digital profile of crop growth.

Agricultural Drones Use Hyperspectral Imaging to See Inside Crops

Our agricultural drones utilize professional hyperspectral sensors to acquire ultra-high-precision spectral data. Through AI algorithm analysis, we can accurately infer the internal nutritional parameters of crops and generate centimeter-level precision maps of nutrient distribution. This enables managers to understand the nutritional status of crops and predict nutritional trends, allowing for precise fertilization.

Drone Technology Drives Digital Management of Crop Growth

The agricultural drone system continuously monitors crop growth. By comparing and analyzing data from each monitoring session, it observes and evaluates differences in crop growth rates at different time periods. This allows for the intuitive identification of areas with stunted growth, giving growers time to analyze limiting factors. It provides data support for operations such as irrigation and fertilization, promoting the digital management of crop growth processes.

Intelligent Prescription Generation and Collaborative Agricultural Drone Solutions

The drone system can automatically generate differentiated fertilization prescription maps based on precise nutritional diagnostic data, allowing plant protection drones to perform precise agricultural operations. The data generated by the drone platform can be integrated into the farm management system and linked with modules such as plant protection, forming a closed loop of agricultural decision-making and execution.

Providing Comprehensive Drone Solutions for All Industries

Leveraging advanced drone technology to empower public safety, industrial operations, urban governance, and low-altitude logistics.

Public Service & Public Safety

Production Operations and Inspections

Urban governance and surveying

Low-altitude transportation and consumption

FAQ

Q:Can drones effectively diagnose the nutritional status of lower leaves during the later stages of crop growth?: Our agricultural drone solution provides effective insights. Our AI algorithms are extensively trained to identify characteristic signatures of nutrients in canopy spectral and temperature data. For diagnosing the nutritional status of lower leaves, flying in the morning or at specific angles can provide more comprehensive information.

Q:How often should crop growth be monitored?: It is generally recommended to monitor crops during critical growth stages. The drone system automatically archives the data from each flight and generates growth and nutrient curve graphs. By comparing the differences in these curves year after year, further management decisions can be made, providing reliable data for optimizing crop varieties.

Q:What are the fundamental differences between hyperspectral diagnostics and conventional multispectral drone analysis?: The difference lies in the higher number of spectral resolutions and broader information dimensions of hyperspectral diagnostics. Hyperspectral systems can collect hundreds of spectral data points, allowing for a more comprehensive identification of problems and diagnosis of crop nutritional issues.

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