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Drones for agriculture

In this issue

Counting coconuts with drones

On the Pacific islands of Samoa drone technology is used in a coconut tree survey to forecast more accurately yield and production of virgin coconut oil.

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Imagery collected by drones can help agricultural experts identify the causes of low crop productivity. But the technology must be adapted to determine different crop varieties from multispectral images. And problems of image calibration must be resolved.

Authorities demand regulation for and supervision of the increasing use of drones, because of privacy, safety and security issues. Drone operators must be aware of this.

Crop insurance payouts could be sped up with the help of drone technology, preventing financial hardship and potentially helping more small-scale farmers get insured.

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Traditionally all features on a map were represented in the form of symbols whose spatial characteristics, like location, size and shape, could be mathematically defined in a spatial reference system. The underlying spatial information of features depicted in this way is referred to as vector data.

The International Water Management Institute in Sri Lanka has begun to experiment with drone technology to support a wide range of studies like crop monitoring, disaster mitigation and disease prevention.

Drone technology could help farmers around the world monitor their crops, fend off pests, improve land tenure, and more. But to realise its full potential, regulatory regimes are necessary, while keeping citizens’ safety and privacy rights secure.

On the Pacific islands of Samoa drone technology is used in a coconut tree survey to forecast more accurately yield and production of virgin coconut oil.

Resources related to drones, aerial mapping and UAVs

Drone technology could help farmers around the world monitor their crops, fend off pests, improve land tenure, and more. But to realise its full potential, regulatory regimes are necessary, while keeping citizens’ safety and privacy rights secure.

Past issues

Spore N. 90

Women and Digitalisation in Agriculture

Spore N. 89

Data4Ag: New opportunities for organised smallholder farmers

Spore N. 88

Unlocking the potential of blockchain for agriculture

Spore N. 86

Precision agriculture for smallholder farmers

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