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Data Science

Innovative use of drones to encounter climate change

As part of Pakistan’s strategy to use drone technology to plant millions of trees and strengthen the ‘Clean Green Pakistan Movement,’ the Ministry of Climate Change signed a Memorandum of Understanding (MoU) with the National Rural Support Programme (NRSP).

Under the new agreement, the NRSP will support the country’s 10 Billion Tree Tsunami project. The project will be using smart drones to tackle Pakistan’s major deforestation problem by planting trees economically and more efficiently as compared to hand planting.
The new technology can also help plant trees in hard-to-reach areas with no roads or inaccessible terrain, as there is no heavy machinery involved.
After conducting successful aerial seeding in 1960 and 1980 at Mangla Hills Islamabad
Another batch of 15 approved species of seeds will be dropped on wide awake at Margalla hills after a successful experiment. To ensure that the seed grows, unique seed balls will be used that provides 50% chances of successful plant growth, 32kg of which were planted.

The initiative will also boost the country’s response to climate change as the South Asian country ranks seventh among the countries most likely to be affected by global warming.
The tech company responsible for their manufacture is ForresOn, collaborating with SAARC and KPK Govt to plant trees using drones in multiple cities.
ForresOn’s R&D focuses on the seed gun that fires the seed pods, the software that analyzes the vegetation and landscape, the AI/DL that assesses the tree growth, and the controllers that spray the exact amount at the precise location, and the avionics that control everything automatically.

ForresOn’s drones have been designed keeping hilly and inaccessible areas in mind where the manual plantation isn’t viable. The vegetation of North Pakistan is quickly deteriorating and requires urgent reforestation.
Trees are a tested and proven antidote to the climate crisis. And they at ForresOn help make the process of planting trees easier, scalable, efficient, and more successful.

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