Environmental Studies
Environmental studies A lot of environmental multispectral drone applications involve water. For example, mapping water quality, seaweed or seagrass biomass in coastal waters, ice sheet melt
Environmental studies A lot of environmental multispectral drone applications involve water. For example, mapping water quality, seaweed or seagrass biomass in coastal waters, ice sheet melt
Tree density This is a big concern in forestry, since higher density tree stands may render some individuals less able to pick up nutrients. They
Smarter management of forests As homes to wildlife and natural carbon sinks, forests are an invaluable resource worldwide. They are also under threat for a
Pest detection As in the case with disease detection, pests often leave hallmark traces of activity. When these indications are spotted early via multispectral data,
Monitor large acreages Managing large farms requires lots of time and work – even in the most efficient farming operations growers may not have access
Terrain modelling One of the advantages of a calibrated multispectral sensor is the generation of aligned outputs, which can be used to create digital surface
Advanced crop scouting It is not always easy to stay up to date and aware of the problems that can be happening at the plant
Detect and monitor nutrient deficiencies Nutrient deficiencies often produce symptoms like chlorosis, low plant vigor, slowed growth, and low biomass. Most of these symptoms are invisible
Temporal analysis It is important to monitor a crop throughout the season, but accurate data comparison is only possible with a radiometrically calibrated sensor. Calibration
Input monitoring Fertilizers represent one of the highest input costs for farming operations and one of the most difficult aspects to manage. If applied in
COST REDUCTION Walking the fields will always be a part of farming, but getting out and walking large extensions costs an arm and a leg.
Identify and map drainage tiles A multispectral sensor with five bands allows for the creation of multiple indices. Similar to NDVI, the NDRE index uses
Fruit and crop Detection estimation One of the new applications in the field of artificial intelligence is estimating the amount of fruit in the garden.
Plant counting Multispectral sensors capture information that allows for more than just plant classification. This imagery can also feed algorithms information for plant detection and
Plant classification and species differentiation Manual classification of fruit trees or other plants can be time-consuming and cost intensive. In contrast, drone-based multispectral sensors capture
Irrigation & water management Water is an important yet scarce resource in agriculture. In regions where the levels of precipitation are too low to guarantee
Disease detection Multispectral sensors can highlight small changes in the health of crops. This is because multispectral imagery captures a critical part of the light
Insurance Agriculture can have major risks associated, such as drought, natural disasters, and pests. Farmers are heavily dependent on nature and weather conditions. For example,
Vegetation health mapping Not all problems are visible to the naked eye – especially during the early stages of a pest infestation, disease onset, or
Weed Detection Efficient control of weeds in a farming operation is critical. Weeds can harbor pests, use valuable nutrients, and serve as hosts for diseases
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