API Service (Aplication Programming Interface) from analysis of remote sensing data and GIS will help plantations – agriculture (palm) integrate biophysical data, agronomists, land, climatology with enterprise ERP data.
Get free services with registration and the option of corporate service to get API Remote Sensing and GIS services for palm oil which are more complex over time and calibrated with site characteristics/specific soil types, agronomic data, climate and topography.
5 Steps to start using this Service
- Register using your email with the Home menu > Register
- If you want to get certain services for free, upload garden blocks in GIS format, agronomic data in csv/xlsx format, soil analysis data in csv/xlsx format
- Choose the near real time API you need
- Confirm to whatsapp and wait for the processing time (1 x 24 jam)
- You will get a confirmation email, access to the API in the form of a url
API Agriforest Biogeophysical
API Satelite Imagery Vegatation Index (VIS)
API Weather Data integration with plantation
Plantation Drought and Wetness API
API Agronomy of Palm Crops
Soil Characteristics API
API Land Cover / Land Use
Is an API that provides land use map information from the analysis of interpretation of satellite imagery.
API Baseline Maps
Agriforestry Biogeophysical
API Satelite Imagery Vegetation Index (VIs)
Benefits of using an Index like NDVI, LAI, EVI and so on in monitoring large gardens, For garden management, especially can visually get a picture of the level of management of the garden, whether it is satisfactory or not attention in certain garden blocks.
API Weather Data integration with plantation (Climate)
Utilize weather data such as average temperature, garden block data especially in the form of a time series of garden prediction data, can provide information when fertilization is carried out, irrigation or drainage.
Plantation Drought and Wetness API
Use of drought indices such as NDDI, CSWI can be implemented to monitor farm drought levels, so that the risk of decreased production due to drought can be prevented.
Plant Agronomy API (Agro)
Using Machine Learning to predict nutrient content in leaves, palm production, we have tested it by providing an accuracy level at the ACCURATE level (fall < 10%) and well (error between 30 sd 10%)
Soil Characteristics API (Soil) – (Under Development)
To understand soil physics in micro, SSU data or soil sampling needs to be analyzed spatially and linked to remote sensing data, so that soil characteristics can be predicted based on remote sensing data.
API Baseline Maps
API Baseline Maps (theme) (Under Development)
To understand the general physical situation of the garden in an area, need to be supported by a map of the carrying capacity of the land, such as peatland information, soil type, geology, forest area boundaries and HGU. As well as mining thematic boundary maps, as well as thematic other.