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Her team develops AI tools to reduce crop loss that causes food waste and greenhouse gas emissions. This article is part of " Build IT ," a series about digital-tech trends disrupting industries.
A majority of food waste food is avoidable, with the rest being divided almost equally into foods which are unavoidable [clarification needed] (e.g. tea bags) and those that are unavoidable due to preference [clarification needed] (e.g. bread crusts) or cooking type (e.g. potato skins).
E-waste due to production of AI hardware may also contribute to emissions. [7] The rapid growth of AI may also lead to faster deprecation of devices, resulting in hazardous e-waste. [35] Some applications of AI, such as for robot recycling, may reduce e-waste. [36] [37]
The targets address different issues ranging from implementing the 10‑Year Framework of Programmes on Sustainable Consumption and Production Patterns (Target 12.1), achieving the sustainable management and efficient use of natural resources (Target 12.2), having per capita global food waste at the retail and consumer levels (Target 12.3 ...
The world’s largest food companies for decades have leaned on AI, and in recent years they have been accelerating their embrace of the technology, including newer use cases for generative AI.
The main aim of the day is to raise awareness to the importance of food loss and waste related problems and their possible solutions at all levels, and also to promote global efforts and collective action towards meeting the Sustainable Development Goal Target 12.3, which targets to halve per capita food waste at the retail and consumer level ...
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Infogram is a web-based data visualization and infographics platform, created in Riga, Latvia. [1] It allows people to make and share digital charts, infographics and maps. Infogram offers an intuitive WYSIWYG editor that converts users’ data into infographics that can be published, embedded or shared. Users do not need coding skills to use ...