Faculty Publications
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Scholarly Publications by Integral Academia
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Item A Review on The Use of Robotics in Integrated Waste Management Through Artificial Intelligence & Machine Learning(International Society of Waste Management, Air and Water (ISWMAW), 2025, 2025) Mohammad UsamaThe development of artificial intelligence and machine learning is playing an important role in different aspects of urban lifestyle. It is now playing a significant role in ensuring sanitation and health in cities through the use of AI-powered robots in integrated waste management. AI-powered robots use artificial intelligence and machine learning in waste management, like they use it in automated waste sorting, collection of wastes, trash compaction, remote surveillance, under water clean up and waste to energy facilities. The benefits of bringing automation and robotics in waste management are many like robots can precisely sort and handle wastes. Robots are supported with high resolution cameras, sensors and they use artificial intelligence in identifying and sorting diverse types of wastes like plastics, paper, metal etc. from mixed streams. It is very effective in reducing occupational health concerns like injuries to workers from hazardous wastes. Waste collection and transportation have been transformed entirely through the use of robotics, as it involves using autonomous vehicles having robotic arms for waste collection and optimizing the routes. The volume of trash in bins is reduced as robotic systems can compact waste. Floating debris can be also removed from water bodies by robots. Waste disposal sites can be managed effectively through surveillance robots and drones having cameras and sensors. Waste Disposal in landfills gets reduced by automation as recycling rate of wastes increase and natural resources are also conserved through effective recovery of materials. Automation brings cost reduction in waste management, as it lowers the cost of labor and also helps in achieving environmental sustainability through efficient resource management. AI supported sorting of wastes provides flexibility and adaptability as they can identify new materials and can also adapt to varying waste streams. This is not possible in manual sorting of wastes. Somme of the successful case studies regarding use of robotics in waste management are Zen Robotics (Finland), AMP Robotics (USA), Prairie Robotics, Waste Robotics and RecycleyeItem A Review on the Use of Artificial Intelligence for the Development of a Smart City through Integrated Waste Management system and Circular Economy(International Society of Waste Management, Air and Water (ISWMAW), 2025, 2025) Mohammad UsamaSmart City development with circular economy requires an integrated waste management system and can be ensured through the use of smart technologies like integrating the city waste management facilities through IoT and artificial intelligence. This is done through use of real time bin monitoring by smart sensors, using artificial intelligence-based route optimization for waste collecting trucks, use artificial intelligence in various aspects of waste management like segregation of wet, dry and hazardous waste at source, composting, recycling, waste to energy facilities and using predictive analytics for optimum resource and infrastructure planning. The objective of smart city with integrated waste management is to use holistic approach in reducing the volume of waste, increase resource recovery, and bring overall improvement in sustainability. Successful case studies from around the World like San Francisco and Los Angeles from USA; Singapore; Msheireb Downtown from Doha, Qatar; Barcelona from Spain and Indore from India were discussed to emphasis on the role of integrated waste management in making cities smart and sustainable. Life cycle assessment must be carried out for every product and services provided, so that the assessment of environmental impacts of the products and services can be done. Circular economy provides solutions for these environmental impacts.Item Application of Digital Technologies & Remote Sensing in Precision Agriculture for Sustainable Crop Production(Springer Nature, 2024) Mohammad UsamaAbstract Soil is an abiotic component of environment which provides habitat for soil microflora and fauna which is very essential for good health. Anthropogenic activities can alter soil and affect health of soil. These activities include excess use of chemical fertilizers, pesticides, irrigation, faulty agricultural practices, modern machinery, shifting cultivation etc. Alternative exists in the form of precision agri-culture, as it will help in practicing agriculture in a way that will contribute towards sustainable rural development. The challenge for rural India is to feed more people from shrinking agricultural land and without having much negative consequence on our environment. This may be possible through precision agriculture as we have the correct information collected through satellite as well as aerial imagery about weather conditions and the needs of our agricultural land and also about crops in terms of requirement of fertilizers, pesticides, irrigation facility etc. By adopting precision agriculture, we would be able to rejuvenate and maintain good soil health. So, precision agriculture can be called the future of sustainable agriculture in India and around world, as this only has the potential to feed the millions of people with least negative consequence on Human life and Environment.