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Daily Archives: November 14, 2024

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Surface Water Cleaning Robot (SWCR) for Sustainable Environmental Protection

Surface Water Cleaning Robot (SWCR) for Sustainable Environmental Protection/strong>
Authors:-T. Anilkumar, V. Abhiram, K. Sampath Kumar, R. Yashwanth Sai Ganesh, U. Bhavani Prasad, P. Aditya Raj

Abstract-The emphasis of the project is centered upon the designing and advanced construction of an ecological water cleaning system that has wireless control features which integrates advanced environmental monitoring and robotics that is operated remotely towards achieving environmental sustainability. Consequently, due to the growing concern of water pollution, there is an increasing demand of deploying an easy system which will eliminate the waste and pollutants from the water bodies in an efficient manner. The system consists of a and a rotary bracket which consists of a substantial floating platform mounted on a 12V battery, four 500 RPM DC motors and L298N motor driver for river surface navigation. The operation of this device centers around the use of an ESP32- CAM module which acts as a camera that streams real time images to the operator for effective monitoring of the device and waste collection process. This system solves the problem of debris reduction in water bodies and enhances water reclamation curbing the risks of cash intensive manual cleaning. If the technology comes into practice it is going to improve environmental protection by introducing a new approach to environmental management and promoting sustainability strategies in the protection of water bodies.

DOI: 10.61137/ijsret.vol.10.issue5.323
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Real-Time River Health Monitoring using Custom Dataset, YOLOv8, and Crowdsourced Solutions: A Comprehensive Review

Real-Time River Health Monitoring using Custom Dataset, YOLOv8, and Crowdsourced Solutions: A Comprehensive Review/strong>
Authors:-Assistant Professor Mrs. Vandana Navale, Yashi Solanki, Riddhi Khot, Pradnya Nalawade, Aakanksha Wadekar

Abstract-Water pollution is still a global problem, especially in urban waters. The routine process of monitoring water bodies is slow and resource intensive. This paper reviews modern approaches to monitoring water health using proprietary data, deep learning models such as YOLOv8 for pollution detection, and public service centers for initiating cleanup projects. The review describes the collection of user data and examines how the proposed system combines public research with machine learning techniques to develop good and measurable solutions to problems. It also investigates the role of public services in promo ng knowledge and environmental financing.

DOI: 10.61137/ijsret.vol.10.issue5.322
55

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Agriculture Sustainability: A Comprehensive Review

Agriculture Sustainability: A Comprehensive Review/strong>
Authors:-Rajat Kumar, Gurshaminder Singh

Abstract-Agricultural sustainability is essential for meeting global food demands, safeguarding the environment, and ensuring economic stability. This review delves into the various dimensions of sustainable agriculture, covering practices, technologies, policies and their collective effects on biodiversity, soil heath, and climate resilience. A central focus is on blending traditional agricultural knowledge with contemporary innovations to create sustainable practices that support biodiversity and soil vitality while adapting to climate challenges. The role of agroecology, which emphasizes ecological principles in agricultural settings, is highlighted as a key approach in promoting biodiversity and minimizing environmental impact. Additionally, the review stresses the importance of robust policy framework that support sustainable practices, ensure resource management, and address climate impacts. The paper also examines the main challenges hindering sustainable agriculture, such as resource depletion, land degradation, water scarcity, and economic pressures. These issues are interconnected with socio-economic factors, including access to resources, income stability, and social equity, all of which shape agricultural sustainability and impact communities reliant on farming. Resource depletion and land degradation are particularly emphasized, as they reduce productivity and soil health, leading to less resilient agricultural systems. To combat these challenges, the review suggests innovative solutions aimed at fostering resilience and sustainability. These include precision agriculture, which leverages data and technology for efficient resource use, crop diversification to reduce vulnerability to climate shifts, and regenerative farming practices that enhance soil health and sequester carbon. The potential of agroecology and regenerative practices is especially emphasized for their ability to restore ecosystems while boosting productivity. Policy interventions, particularly those that support sustainable practices, incentivize research and development in agro-innovations, and provide farmers with training and resources, are crucial for advancing sustainable agriculture.

DOI: 10.61137/ijsret.vol.10.issue5.321
55

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Adoption of Artificial Intelligence: Benefits, Challenges, and Future Prospects

Adoption of Artificial Intelligence: Benefits, Challenges, and Future Prospects/strong>
Authors:-Malvika Singh

Abstract-Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, reshaping industries, driving operational efficiencies, and fostering innovation. The adoption of AI spans numerous sectors, such as healthcare, finance, retail, and manufacturing, where it is optimizing processes, enhancing decision-making, and delivering personalized services. However, while AI adoption holds significant promise, it also presents notable challenges, including ethical concerns, data privacy issues, skills gaps, and high implementation costs. This paper explores the advantages of AI adoption, the barriers it faces, and future trends that could shape its progression. By examining case studies and identifying key trends, this paper aims to provide a comprehensive overview of the adoption of AI and its potential for transforming industries worldwide.

DOI: 10.61137/ijsret.vol.10.issue5.320
55

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