Circular Library

Q & A

Ghana- SKIP - IWAD

Completed a topographical survey for Savannah Commercial Irrigation And Smallholder Development Project (Upscaling the Sisili-Kulpawn Irrigation Project) with a gross total area of 36 180 ha. data for detailed irrigation and drainage design for a Net 12 000 ha sugarcane estate Agri-Sense provided:

  • Aerial Imagery
  • 482 GCPs,
  • Maps,
  • DTM,
  • DSM



Malawi-Pyxus

Data-Sense has been used in major projects undertaken for Pyxus, Malawi. It has proved to be an extremely useful and beneficial tool for our clients. Data-Sense is integrated into Agri-Sense Maps, providing the users a fully integrated, yet simple platform to view the data as it is collected. This has revolutionized data capture and land parcel mapping in the agricultural development sector Agri-Sense provided:

  • Data
  • Imagery
  • Farmer I.D Cards
  • Data viewing & Mapping platform



Malawi-Satemwa

Completed a topographical survey for Satemwa, Malawi Agri-Sense provided:

  • Aerial Imagery
  • GCPs,
  • Maps,



Angola

We undertook a project in Angola to combine drone with a bathymetric surveys to create river bed profiles for 7 sites on the Cubango river. This data was used to analyse the riverbed and to find the best position to install the new bridge infrastructure Agri-Sense provided:

  • Aerial Imagery
  • GCPs,
  • Maps,
  • DTM,
  • DSM
  • Data



Malawi-COOPI

Round 2 of surveys were completed for the COOPI project in order to monitor the success of the interventions put into place. Agri-Sense was contracted to do an update of work carried out in 2019 Agri-Sense provided: Aerial Imagery

  • Aerial Imagery
  • Maps,
  • DTM,
  • DSM



Malawi-Satemwa

Data-Sense has been used in major projects undertaken for Satemwa, Malawi. Data-Sense is integrated into Agri-Sense Maps, providing the users a fully integrated, yet simple platform to view the data as it is collected. This has revolutionized data capture and land parcel mapping in the agricultural development sector Agri-Sense provided:

  • Data
  • Imagery
  • Farmer I.D Cards
  • Data viewing & Mapping platform



Malawi-Pyxus

Completed a 70 ha topographical survey for Pyxus, Malawi Agri-Sense provided:

  • Aerial Imagery
  • GCPs,
  • Maps,
  • DTM,
  • DSM



South Africa- Rietvlei

Agrisense processed Imagery and provided DTM and aerial orthomosaic Agri-Sense provided:

  • processed Orthomosaic
  • DTM



South Africa-SASRI

Agri-Sense is always growing and developing in all aspects of our work.We are continuing our partnership with the South African Sugar Association (SASRI), bringing high class processing and analysis to the table. This partnership has produced rich data relating to sugarcane health in terms of Chlorophyll content /thermal values and many other indicators. Agri-Sense provided:

  • Data
  • Arial Survey
  • GCPs
  • Maps



Nigeria-Sunti

Agri-Sense International was contracted to monitor and assess the growing crop in selected areas of interest (AOI’s) in Nigeria. The report provided a quantitative assessment of each AOI in terms of land activity and crop growth from 2016 with the final quantitative assessment of the crop growth in 2019. Agri-Sense provided:

  • Data
  • Satilite Imagery
  • Maps



Malawi-Thulwe

Completed a 60 ha topographical survey in Thulwe, Malawi Agri-Sense provided:

  • Detailed Imagery
  • GCPs
  • DTM



South Africa- Underburg

Agri-Sense was contracted to carry out the processing for a Dataset provided by the client Agri-Sense provided:

  • Orthomosaic
  • DTM



South Africa- Growmor

Agri-Sense International was contracted to survey the Gromor facility in Cato Ridge and produce a digital surface model. Agrisense processed Imagery and provided DTM and aerial orthomosaic of Gromor compost site for drainage design, and evaluated volumetrics of compost mounds Agri-Sense provided:

  • Processed orthomosaic
  • DTM
  • GCPs



Mozambique- Ouro Verde

Agri-Sense was contracted to carry out a 1405 ha aerial survey. Agri-Sense provided:

  • Orthomosaic
  • Maps



South Africa- Simikhale

At the Simikhale site Agri-Sense digitized and numbered fields in order to classify the NDVI data into 5 discrete classes representing certain types of growth. We identified areas of No Cane, Low, Medium, Med/Good, and Good growth. Agri-Sense provided:

  • Digitizing
  • Mannual clasification
  • data analysis
  • Orthomosaic
  • Maps



Sout Africa- Eston

Aerial survey of sugar cane fields in eston area. Agri-Sense provided:

  • Orthomosaic
  • DTM
  • Aerial Survey