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Showing posts with the label humanitarian crisis

Strategic Planning for SDG 2: Achieving Zero Hunger for All Species

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Introduction : Sustainable Development Goal (SDG) 2 primarily aims to eradicate hunger worldwide. However, current policies formulated by international organizations and governments solely address hunger reduction for humans and their pets, neglecting the plight of numerous other species that face starvation and extinction due to lack of food. This article proposes an innovative strategic plan that expands the scope of SDG 2 to encompass all species, including herbivores, carnivores, and omnivores, thereby promoting comprehensive hunger reduction and biodiversity conservation. Implementation Strategy 1. Policy Development (National, Regional, and International):7 Billion EUR Adding 1 Million new species as a recognised pets to raise and feed by humans and robots . - Develop and implement policies that recognize and protect the food rights of all species, including those not traditionally considered as pets. - Establish international agreements and collaborations to ensure c...

Predict and Prevent Natural Disasters by Data

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Introduction :  Our motive is to protect nature from human activities and prevent natural disasters in future .    Strategies for Preventing Floods and Landslides  To effectively predict and prevent natural disasters such as floods and landslides, it is crucial to leverage various types of data. These data serve as valuable indicators of environmental changes and potential risks. By collecting and analyzing location-based data, particularly in vulnerable areas such as coastal regions and mountainous terrains, we can gain insights into the patterns and triggers of these disasters. Some of the key data required for flood and landslide prevention include: 1. Average forest loss rate over the past 10 years: Deforestation can significantly increase the risk of landslides and flooding by reducing the soil's ability to absorb water and hold the ground in place. 2. Average tree cover loss over the past 10 years: Similar to forest loss, the loss of tree cover ...