Monitoring of fields daily by delivering 3-meter resolution satellite imageries (including historical data). 分析 of the studied field with several vegetation indices (NDVI, LAI, EVI, NDWI, etc. based on four bands). Service is available worldwide.Historical analysis of the vegetation indices. Navigation through the history of vegetation indices, maps collected from drones, and even smartphones allow you to get a complete picture of your assets.Explore index histogram, dynamic recalculation of range. Manage by analytics details: 3, 5, 9, 256 colors. Dynamic calculation of the area of each differential zone. Export differential zones to KML and shapefile formats for variable rate applications.
Drones allow analyzing crops in resolution up to 2cm per pixel by orthophoto map of fields.Mobile application for drone control – Aeroscouter – enormously simplifies data collection for non-professional pilots. . The whole process of data collection is fully automated. . Users can set field boundaries in advance in the cloud application. Aeroscouter builds the flight route over the field. . You just press the button “Start” in the Airscouter, and the drone takes off, runs the survey by the route, and lands automatically.An orthophoto is a crop canopy map assembled from drone images into orthogonal projection. . The process of orthophoto building is fully automatic. . Despite the significant processing capacity required for the production of such maps, you just need to download the drone photos in our cloud and launch the process to get ready-to-analyze orthophoto map.Our system is drone agnostic. There is only one requirement for photos: it should be GPS tagged. . But we recommend DJI Multispectral P4 for surveying fields and obtaining a wide range of vegetation indices. . Technical Specifications: -Maximum flight time: 27 minutes-Maximum coverage area at an altitude of 180m and a resolution of 10 cm per pixel per flight: 63 hectares-Five multispectral channel cameras: Blue, Green, Red Edge, Near-infrared-10 cm vertical and horizontal accuracy .Compact multispectral cameras allow you to build a wide range of vegetation indices, including NDVI, VARI, GNDVI, NDWI, SAVI, NDRE, etc. . .It is possible to generate pseudo-vegetation indices even with a visual camera: pseudo-NDVI, VARI, and so on.
田间研究
Groundscouter — 将您的智能手机变为专业工具
在云端为智能手机应用设置检测点（POI）
离线采集图像和指标，然后与云端同步
根据采集的田间数据构建插值地图
Set Points of Inspection (POIs) in a cloud application for further use ones in smartphone applicationGroundscouter allows you to collect images and preset indicators by POIs . Offline mode: the ability to collect data in a field without Internet coverage with further synchronization of information with the cloudBuilding of interpolation maps based on the collected indicators at POIs
分析
高级分析 — 从分割到作物密度
多光谱指数分析: 直方图、3/5/9/256色分析，各差异区动态面积计算。
分割: 基于颜色和结构在可视化地图上进行交互式分区。
插值: 基于Groundscouter数据、无人机照片和土壤分析生成地图。
作物密度图: 基于无人机照片的ML地图；按生长水平侦察区域。
相关性分析: 研究田间指标与卫星植被图之间的相关性。
分析 of multispectral indices . Index histogram, range recalculation. Analytics detail: 3, 5, 9, 256 colors. Dynamic calculation of the area of each differential zone.分割. An interactive segmentation tool that allows you to quickly highlight the differential zones, even on a visual map, considers the color characteristics of crops and structure.插值. Building of interpolation maps based on: -parameters collected at points using the Groundscouter mobile application.-Interpretation of detailed photos from drones.-Chemical analysis of soil, etc. .作物密度图. Build crop density maps using detailed photos collected from the drone and Machine Learning. Use crop density map to scout areas with different levels of growth. . .Correlation 分析. Study of the correlation of indicators collected in the field with vegetative satellite maps.
喷洒无人机
基于遥感数据的变量喷洒
Spraying drones reduce pesticide use by 30% and water waste by 90%. Variable spraying targets only zones requiring protection — not the whole field.
使用卫星、无人机、分割或插值地图检测变异区
创建差异化施药任务并生成处方地图（KML/shapefiles）
Use any type of maps (satellite and drone vegetation maps, segmentation, interpolation maps) and their combination to detect variability zones.Build Tasks for differential application of inputs from drones. Prescription map can be generated using any type of maps in the system or their combination in the form of KML or shapefiles
运营管理
Cloud-Based Corporate 运营管理
实现所有业务流程的企业云系统：运营规划、数据采集和全公司大数据分析。
多组织结构，具有隔离工作空间和个人访问权限
资产登记册：包含名称、地址、面积、轮作制度和边界的地块信息
任务：与资产关联的检测任务，包含日期、飞手、无人机型号和状态
报告：多光谱地图、分割、植物密度分析
Multi-org structure. Entities, data, and users of the system are logically organized into workspaces. Users in the workspace are logically isolated from users and data in other workspaces.Access to each entity in the system can be limited to a specific list of users with individual rights.Simple hierarchy of entities and data in the system, which allows you to structure and analyze data easily and effectively.Assets allow to maintain a register of fields with their main properties: name, address, area, crop rotation, boundaries, etc. Field boundaries can be drawn either manually or imported from shape or KML.A Mission is a monitoring/inspection task.. The mission is linked to the Asset. For each Asset, you can create as many inspection Missions as you want.. The Mission contains information about the planned and actual date of the inspection, the pilot and the drone; mission status; data collected during the inspection.. The type of Mission can be Ground, Aerial, or Satellite.Reports contain primary data processing results and analytics, such as multispectral maps, maps of segmentation, plant density, etc.
Create boundaries of your fields or import them into the System from electronic formatRegularly or upon request receive vegetation maps of fields from satellitesCreate drone survey missions based on vegetation satellite maps or autonomously . Collect data using drones .Simultaneously survey your fields by Points of Inspection using the Ground Scouter mobile appUpload your data to the cloud and perform analysis
NEW SILK ROAD 
