The power of multispectral, hyperspectral, thermal and sensor data in agriculture.

Accurately and consistently obtaining critical information (at regular intervals) of fruit tree planting is of great significance to the development of tree growth, prediction and prevention of diseases, pest control, proper irrigation management, and yield estimation (both quality and quantity). 


To maximise crop yields while keeping down fertiliser use and minimising the amount of water needed for irrigation purposes.


In large(r) farms, it is difficult to examine and administrate every and each individual tree manually. Traditional manual inspection surveys are simply too time-consuming, too labor intensive, too inconsistent and therefore too erroneous. Read More

<strong>The modern farmer requires information beyond what the human eye can see</strong>.

Healthy crop and crop affected by disease reflect sun light differently. By using spectral imaging it is now possible to detect very small changes in the physiology of the plant. Spectral imaging is the detection of light reflected by the crop with the use of specialised sensors. It is measured in spectral bands. The higher the number of bands the higher the accuracy, flexibility, and information content. 

Hyperspectral cameras currently available have 40+ spectral bands, which allow us to make 40 measurements of spectrum versus the 5–7 bands supported by multispectral cameras. 

Currently satellites and drone fitted cameras are using multispectral imaging technology. Multispectral technology can offer a good overview of crop such as overall growth and NDVI (Normalized Difference Vegetation Index), but fails to tackle more complex problems such as weeds, pests, diseases and PK deficiency.

Therefore, spectral imaging is widely used in agriculture and precision farming. 


Satellite (and drone) imagery together with critical sensors on the ground plus a layer of Artificial Intelligence (AI) data processing facilitate accurate near real time tree monitoring and control. The same system maintains accurate statistics hence efficient and consistent administration of tree health and fruit quality compared to environmental data over time.

In summary, drone-powered farm insights can be the same as inspecting every tree on-foot, compared to plane or satellite-based data that groups trees together and aggregates the results.

Agronomists, agricultural engineers, researchers, service providers and farmers use satellite and drone-captured data to gain greater crop insights to accurately plan and manage their operations throughout the growing season.

Professionals such as environmental engineers, researchers and conservationists are turning to drones in place of slower terrestrial surveying equipment, lower-resolution satellite imagery and expensive – and sometimes unavailable – manned aircraft services. 


Mangosat offers a total concept solution, which is the combination of image processing and on the ground IoT solutions for overall farm, tree, and on-tree fruit monitoring. The system is flexible and expandable and basically every sensor can be included. Our concept has low economic investment and is not subject to geographical restriction. Moreover, your farm can be efficiently managed from anywhere in the world.

If required we take care of electrical power, connectivity, implementation, and maintenance.


Why are people racing to plant trees – rather than making sure they survive and grow?

Mangosat, in collaboration with longstanding systems integration partners, has solutions that will further progress the widespread automation of crop production.

Our soil & water monitoring solution has a pivotal role to play in smart agriculture – helping to maximise crop yields while keeping down fertiliser use and minimising the amount of water needed for irrigation purposes. Read More

Page last modified: Apr 20, 2023 @ 12:15 pm