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
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
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
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
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
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
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
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