Increase in population and expansion of industries, we need more area for housing, mining and agriculture, moreover, increase in demand for firewood and illegal logging are the reasons for cutting down forests. 6.5 billion Trees are lost each year as a result of human activities and natural disasters. According to some surveys, the rate of deforestation is estimated 35,000 to 42,000 hectares or between 2 to 3 percent every year. To reduce deforestation new trees are planted in northern areas of Pakistan but calculating number of trees , estimating yield and maintaining tree health in Pakistan is a crucial task. Pakistan has started a massive reforestation project – named the Billion Tree Tsunami – in an effort to restore the province’s depleted forests and fight the effects of climate change. That is why we are making TESTREE to keep an eye on tree production issues.

The system that is going to help us in providing best results for counting, yield estimation and tree heath. In developing countries like Pakistan, there is a massive deforestation taking place. As in areas where we have massive tree canopies and it is difficult to resolve tree production issues. An efficient reforestation system is needed, which will only be possible if we have a reliable forestation technique.

A drone will be used in our application. The aim of TESTREE is that the drone used will have the following features:

• The drone will fly autonomously
• The drone will capture images of trees
• Stitch the images that were captured
• Calculate the number of trees
• Match the colour of leaves
• Estimate the yield by interpreting the images.

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• International

• Remote and rural communities

The project can be replicated all over the world where trees are present and crucial. If there are unique species of tree in a region, then features of that tree species need to be fed into the system.

We have to consider tree production and maintain issues, which could be achieved by calculating the trees, estimating yield and guarding health of trees. The purpose of this project is to monitor forests and support the cause of afforestation using autonomous copter. The copter will plan its own path to navigate in a given area. It will take off; patrol the forest and land after computing the survey without any human intervention. It will collect images from its survey these images will be processed and deep learning techniques will be applied to these images to count the number of trees, estimation of yield and tree health.

Increase in population and expansion of industries, we need more area for housing, mining and agriculture, moreover, increase in demand for firewood and illegal logging are the reasons for cutting down forests. 6.5 billion Trees are lost each year as a result of human activities and natural disasters. According to some surveys, the rate of deforestation is estimated 35,000 to 42,000 hectares or between 2 to 3 percent every year. To reduce deforestation new trees are planted in northern areas of Pakistan but calculating number of trees , estimating yield and maintaining tree health in Pakistan is a crucial task.