Crop growth monitoring:Multi-spectral UAV System


In summer, it is essential to monitor the spatial distribution, emergence, growth, disease and pests of farmland crops in time. Today, we will introduce the application of the CW series UAVs to monitor crop growth.

The traditional way of monitoring agricultural conditions is more dependent on manpower, time-consuming and laborious, and the observation area is smaller. At the same time, the accuracy and consistency of the survey are difficult to reach a unified standard, which has certain limitations and is no longer suitable for large-scale farmland. monitor.

The CW-15 VTOL fixed wing UAV multi-spectral remote sensing system has long operation time, higher efficiency and wide coverage area. It has the advantages of high efficiency, flexible maneuverability, easy operation, high spatial resolution data on demand and low application cost. It provides new tools for small and medium-scale agricultural remote sensing applications.

The best time period for multispectral data collection is within two hours before and after noon. When collecting spectral data, better weather conditions are required, and the weather conditions need to be kept as constant as possible, so that the accuracy and consistency of the collected data can meet the demand.

Therefore, in the limited time, in the face of changing weather conditions, a more efficient, more stable, and more accurate radiation correction remote sensing system is needed to obtain accurate agricultural condition data.

Crop seedling extraction

Emergence and seedling growth have an important impact on the growth and development of crops. Rapid, uniform and complete emergence can shorten the time from planting to full coverage of seedlings, improve the time and space competitiveness of crops, and lay the foundation for establishing the best canopy structure. Improve the quality of grains to the fullest, and give full play to the high yield potential.

Normalized vegetation index

One of the important parameters reflecting the growth of crops and nutrition information. It has been widely used in regional land cover, vegetation classification and change, primary productivity analysis, crop and pasture yield estimation, and drought monitoring.

Leaf area index

The leaf area index is related to the density, structure, biological characteristics and environmental conditions of the vegetation. It is a comprehensive indicator that represents the status of vegetation utilization of light energy and canopy structure. It is obtained in the fields of agriculture, fruit industry, forestry, biology, ecology, etc. widely used.

Vegetation chlorophyll map

Chlorophyll is the main photosynthetic pigment in plant leaves, and its content is an important indicator for evaluating the physiological status of plants. Using multi-spectral images of drones to estimate the content of chlorophyll can quickly determine the health status of plants.

Vegetation nitrogen content map

Nutrient elements are the key factors affecting the growth and final yield of crops, and nitrogen is the most important nutrient element of vegetation. According to this parameter, it can monitor the nitrogen demand of crops in different seasons, which is important for the rational application of nitrogen fertilizers.

Crop pest information

When pests occur in farmland, the plant's spectral data is extracted and various biochemical parameters of the plants are extracted to obtain plant pest and disease information, so as to further guide the prevention and control of pests and diseases.

Crop lodging

Crop lodging is the phenomenon of plant stems from natural upright state to permanent dislocation caused by external factors, which is a common problem in crop production. Therefore, timely monitoring of crop lodging is one of the important means to ensure high and stable yield of regional farmland.

Using the JOUAV CW series UAV multi-spectral remote sensing system, the perspective of agricultural situation monitoring is raised from the ground to high altitude, thereby greatly improving the efficiency and accuracy of observation. The crops are monitored quantitatively in all directions to achieve high-quality, high-yield, low-consumption and environmentally sustainable agriculture.