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Topic Review
Artificial Intelligence and Agricultural Sustainability
Artificial intelligence (AI) is one innovation emerging from the digitalization trend, often being used for precision agriculture and to enhance smart farming techniques. The digitalization of agricultural systems is aimed at the technological optimization of production, value chains, and food systems, as well as minimizing the environmental impacts of agriculture. 
  • 1.6K
  • 18 Nov 2021
Topic Review
Artificial Intelligence and Machine Learning in Sustainable Communities
Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. In the interior environment, they contribute to energy management by optimizing energy usage, finding inefficiencies, and recommending modifications to minimize consumption. This contributes to reducing the environmental effect of energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges. They can monitor air quality, noise levels, and waste management systems to quickly discover and minimize pollution sources. Likewise, AI and ML applications in construction processes enhance planning, scheduling, and facility management.
  • 174
  • 19 Sep 2023
Topic Review
Artificial Intelligence Applied to Photovoltaic Systems
Solar energy is one of the most important renewable energies, and the investment of businesses and governments is increasing every year. Artificial intelligence (AI) is used to solve the most important problems found in photovoltaic (PV) systems, such as the tracking of the Max Power Point of the PV modules, the forecasting of the energy produced by the PV system, the estimation of the parameters of the equivalent model of PV modules or the detection of faults found in PV modules or cells. AI techniques perform better than classical approaches, even though they have some limitations such as the amount of data and the high computation times needed for performing the training.
  • 1.6K
  • 24 Oct 2022
Topic Review
Artificial Neural Networks and Energy Forecasting
Load prediction with higher accuracy and less computing power has become an important problem in the smart grids domain in general and especially in demand-side management (DSM), as it can serve to minimize global warming and better integrate renewable energies. Indeed, artificial neural networks (ANN) are the most used methods in forecasting electrical load. They are widely employed in this field for their numerous advantages. In fact, the complexity of this task is considerable due to several factors/parameters, such as weather and holidays (linear and non-linear relationships), which is a well-suited problem for ANNs and their capacity to deal with non-linear relationships.
  • 588
  • 21 Jun 2022
Topic Review
Augmented Reality in Agriculture
Augmented Reality (AR) applications have become prevalent within smart industry manufacturing and wider popular culture sectors over the last decade, yet use of AR technology within an agricultural setting is still within its infancy. 
  • 1.5K
  • 04 Jan 2022
Topic Review
Backfill Mining Method for Mines in China
Despite China’s position as a global mining powerhouse, tens of thousands of small- and medium-sized mines (SM mines) within the country continue to pose potential safety hazards and environmental pollution risks. Only through the identification of suitable development paths can these mines improve their economic and environmental benefits, ultimately driving significant progress in China’s mining industry. Backfill mining, an environmentally friendly mining method, has emerged as a viable solution, offering the potential to ensure mining safety, reduce environmental pollution stemming from tailings stockpiles, and enhance ore resource recovery. 
  • 255
  • 04 Jul 2023
Topic Review
Backgrounds of Agroforestry and Social Forestry in Indonesia
Smart agroforestry (SAF) is a set of agriculture and silviculture knowledge and practices that is aimed at not only increasing profits and resilience for farmers but also improving environmental parameters, including climate change mitigation and adaptation, biodiversity enhancement, and soil and water conservation, while assuring sustainable landscape management. Indonesia has the third largest area of tropical forest as well as the second largest biodiversity and the second highest number of indigenous medicinal plants in the world. It covers 10% of the global tropical forest with 50% of the world’s biodiversity, flora, mammals, amphibians, reptiles, primates, and birds, and provides 25% of the medicinal plants for human health. Social Forestry is a sustainable forest management system implemented in state forests or private/customary forests by local or traditional indigenous communities as the main actors to improve well-being, environmental balance, and sociocultural dynamics in the form of village forests, community forestry, community plantation forests, traditional forests, and forestry partnerships. Social and economic perspectives on SF development received more attention than environmental perspectives. Economic opportunities are deemed to be the main benefit of social forestry, while social and environmental challenges seem to be the major barriers to implementation. Three main keys in the SF program are how to improve the institutional governance, forest governance, and business governance. SF management needs innovation, technology, and collaboration to provide broader benefits for communities in terms of forest land and the use of forest products.
  • 434
  • 16 Aug 2022
Topic Review
Barriers to Port Decarbonisation
Industries worldwide are facing the urgent need to decarbonise in alignment with the goal of the Paris Agreement (PA), which aims to limit global warming. However, progress towards achieving this extremely important goal has been sluggish, and the wider maritime transport sector (ports included) is no exception. 
  • 243
  • 19 Oct 2023
Topic Review
Benefits of Green Building Implementation
A green building is often defined as an energy-saving building, ecological building or sustainable building. Green buildings have higher commercial value compared to traditional buildings, due to the perceived low carbon emissions, energy savings, and maximized economic benefits throughout the life cycle.
  • 1.7K
  • 15 Nov 2022
Topic Review
Benefits of Non-Commercial Urban Agricultural Practices
Urban agriculture refers to any type of activity located within or around a city designed to provide ecosystem services. Given the rapid population growth and urbanization, urban agriculture is seen as a potential alternative route to a more sustainable urban food system. Indeed, it has multiple functions, contributing to a variety of outcomes associated with localized urban food systems, including food access, food and agriculture education, community building, and civic engagement. Moreover, implementing non-commercial urban agricultural practices has multifaced social, economic, and environmental benefits, such as improving people’s health, reducing expenditure on food and creating sustainable cities, highlighting the need to recognize the multifaceted role of non-commercial urban agricultural practices in promoting a more sustainable lifestyle and strengthening local communities and engagement.
  • 110
  • 04 Feb 2024
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