AgriTech Solutions by funlead corp.
The funlead is tackling the global food problems through DX.
We believe our ICT solutions tailored to the type of crop and the conditions of the field
can modernize farming in Southeast Asia, “Food Basket of The World”.
Agriculture in Southeast Asian countries has been rapidly developing, but there are many challenges to overcome, such as a decrease in the number of farmers due to urbanization, traditional farming not profitable enough to attract the next generation and balancing the expansion of farmland with environmental conservation.
We provide one-stop and affordable solutions for sustainable agricultural businesses in Southeast Asia by using cutting-edge ICT technology.
With Cutting-edge Technologies such as Remote sensing, GIS and AI
The combination of satellites and drones for data acquisition of farmland greatly expands the range of variety and effectivity for value creation. Wide-area and periodic monitoring by satellites, and flexible with high-resolution observations by drones allow us to effectively understand the growth of individual crops and secular changes of managed estate.
The funlead corp. has been awarded “FY2019 Demonstration Project utilizing MICHIBIKI (Japanese Navigation Satellite) ” funded by the Government of Japan and successfully conducted the experiment in Malaysia in Jan. 2020 and the outcome of the project has led to our solutions. We integrate our key technology features as an ICT service provider to realize highly efficient valuable smart agriculture both in a wide range of fields such as oil palm and rice and in urban farming.
Our drone-mountable compact, light-wight and affordable hyperspectral senor enables to monitor detailed crops health status.
With large area monitoring from satellite, users could narrow the areas to be precisely monitored by drone or users also could choose multiple-drone observation.
Our unique visual SLAM (Simultaneous Localization And Mapping) technology makes it possible to assign an ID to each individual crop (e.g. each tree of oil palm) for estate management.
This geo-tagged map enables accurate alignment with wide-area satellite data and data fusion of different observation platforms.
Hyperspectral imaging collects many individual images of a scene, each taken within a different narrow wavelength band and the combined images form “Data Cube”, an enormous volume of data.
AI-driven data processing technologies provide effective analysis such as detection of early symptom of damaged tree or crop.
Sampling a wide variety of bandwidths in the light spectrum to provide a rich dataset and
detect objects of interest not visible to multiple-bandwidth imaging sensors.
