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25 results for “Sustainable forest management”
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Research ArticleOpen accessPhrase in the titleCriteria and Indicators for Sustainable Forest Management in MalaysiaRabiul Islam, Chamhuri Siwar, Shaharuddin Mohamad Ismail, Nurul Hidayah ChamhuriProblem statement: This study investigated the timber certification of sustainable forest management and the criteria and indicators for sustainable forest management. Approach: Sustainable forest management is an important role in the forestry sector and takes a major player in Malaysia's sustainable development. It is a management regime that integrates and balances social, economic, ecological, cultural and spiritual needs to present … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,296 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleParticipatory Forest Management for the Sustainable Management of the Sundarbans Mangrove ForestAnjan Kumer Dev Roy, Khorshed AlamPeople’s participation in forest management has become successful in many countries of the world. The Sundarbans is the single largest mangrove forest in the world, bearing numerous values and holding importance from economic, social and ecological perspectives. It is the direct and indirect sources of the livelihood of 3.5 million people. As a reserve forest, government is always providing extra … …American Journal of Environmental Sciences, Vol. 8, Issue 5 · 5 Sep 2012 · 8,205 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImpacts of Trade and Environment on Sustainable DevelopmentRabiul Islam, Chamhuri Siwar, Shaharuddin Mohamad IsmailProblem statement: This study investigated the issues of trade and environment on sustainable development. It has reviewed the existing literatures on trade and environment and conceptualized the economic, environmental and social effects of sustainable development. The review has six parts. Approach: Firstly, we discussed the market access, barriers to trade and impediments. Secondly, we state the trade liberalization, timber trade … …American Journal of Environmental Sciences, Vol. 6, Issue 1 · 28 Feb 2010 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 709 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,046 accessesView PDFCite