Agriculture-Growth,Pest and Disease and Lodging Assessment
Dec 31,2024 | Farmer Drones
Application Overview
Addressing the monitoring needs of crop growth cycles, this solution aims to accurately assess crop vigor, resolving the pain point of not being able to quickly, accurately, and comprehensively obtain crop growth status. It provides a convenient and efficient way to evaluate crop vigor.
Application Scenario
Growth Assessment
Application Scenario
Vegetation classification and growth assessment in agriculture, forestry, grassland, orchards, and landscaping.
Output Forms
Vector files (SHP/KML), thematic maps, raster files (GeoTIFF), and thematic reports.
Applications
Quantitative evaluation of vegetation growth and spatial distribution to support greening, irrigation, fertilization, pest control, and yield estimation.
Emergence Rate Assessment
Application Scenarios
Emergence rate assessment for field crops like cotton, wheat, and corn, as well as transplanted crops.
Output Forms
Vector files (SHP/KML), thematic maps, coordinate points, and thematic reports.
Applications
Providing data on plant numbers, row/plant spacing, growth, canopy area, and spatial distribution to support research breeding and crop replenishment in farming.
Pest and Disease Assessment
Application Scenario
Evaluating vegetation health anomalies in agriculture, forestry, and grassland due to pests and diseases.
Output Forms
Vectors (SHP/KML), thematic maps, abnormal plant coordinate points, special reports.
Application
Information on growth, canopy area, and spatial distribution of abnormal plants supports irrigation, fertilization, plant protection, yield estimation, and disaster assessment.
Lodging Assessment
Application Scenario
Assessing the lodging severity of crops and trees caused by extreme weather like typhoons and floods.
Output Forms
Vectors (SHP/KML), thematic maps, abnormal plant coordinate points, special reports.
Application
Data on the area, lodging severity, and spatial distribution of downed plants and trees aids in disaster assessment and crop yield estimation.