Satellite Agricultural Monitoring

MEETING POINT OF AGRICULTURE WITH SATELLITE

With satellite, aircraft and drone cameras using remote sensing techniques and algorithms;
  • » The density of crops in the field,
  • » Type of crop in the field,
  • » The yield of the crop,
  • » Phenological stage of the crop,
  • » Analyzes from images taken at different times are determines.

These operations; with softwares automatically extracted using infrared band. Normalized Difference Vegetation Index (NDVI) is used. SPOT 6, SPOT 7, SPOT 5, Lansat 8, PLAIDES, each band orthogonal airplane images (Red, Green, Blue, NIR) are saved to the geographic database on the basis of coordinates and pixels. The recorded data is calculated for each coordinate NDVI, colorizes according to color scale and displays on the map as a tile. The generated tile is served to the OGC standards via WMS (Web Map Server).

Served data is displayed as service and the coordinates of the desired field are sent and the results are analyzed. As a result of analysis;

  • » The density of crops in the field,
  • » Type of crop in the field,
  • » The yield of the crop,
  • » Phenological stage of the crop,
  • » Analyzes from images taken at different times are reported.

FIELD MONITORING WITH SATELLITE IMAGES

Satellite images for agricultural areas and aircraft image taken from the institutions and organizations;
  • » Most current satellite image,
  • » Greenery Rate,
  • » Temporal Change Rate,
  • » NDVI Map (Normalized Difference Vegetation Index),
  • » Yield Estimation,

are offered to farmers and businesses through the web application.

NDVI; It is useful to for obtain highly reliable and highly accurate information in developing space technology, monitoring of earth resources, mapping land use / land cover. It ensures that the quality and quantity of the product is provided more quickly and more accurately than the local measurements in agriculture. Use of remote sensing technologies in agricultural applications and integration with geographic information systems, complex analysis of the condition of vegetation provides to increase the quantity and quality of agricultural products.

SATELLITE AGRICULTURAL MONITORING

PHENOLOGICAL STAGE MONITORING WITH NDVI

With the integration of the current satellite images into the system; Periodically classification according to NDVI reflection values phenological stage and plant development of the plants on the basis of region and parcel are determined. Inefficient and low yield in the field with NDVI can be determined.

From the NDVI map, estimates and determinations can be made about whether the plants in the field are healthy or not and informs to farmer. The knowledge of whether the plant is sick is given to the farmer as a warning.

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MAIN FEATURES

7/24 Real Time Tracking
Precision Agricultural Technologies
Supports Smart Cities Platforms
Agricultural Early Warning Systems
To Determine Ssoil Moisture and Type and Classification Agricultural Area Management
Detection of herbal product damage such as drought, disease, agricultural pests
Use of Satellite Images
Herbal Product Type Decomposition
Herbal Product Development Monitoring
Product Yield Determination
Agricultural Area Management

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