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27 results for “Sustainable Agriculture Practices”
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Research ArticleOpen accessPhrase in the titlePreservation of the Environment through Sustainable Agriculture Practices: A Case Study on the Attitude of Crop FarmersJeffrey Lawrence D’Silva, Bahaman Abu Samah, Hayrol Azril Mohamed Shaffril, Norsida ManProblem statement: Undoubtedly agriculture over the years has been a remarkable source of income generator for the rural community to achieve a higher standard of living and to live on par with their urban brethren that are mostly involved in industrialization. The quest for a greater income should, however, not deter farmers from paying attention toward the preservation of the … …American Journal of Environmental Sciences, Vol. 7, Issue 3 · 11 Jul 2011 · 7,551 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAttitudes of Malaysian Extension Workers Towards Sustainable Agricultural PracticesNeda Tiraieyari, Azimi Hamzah, Bahaman Abu Samah, Jegak UliThe challenge of producing enough food for growing population increasingly affected Malaysian agricultural sector. Intensive farming system and increase in fertilizer used by farmers has led the agricultural sector to some environmental damage. The Department of Agriculture (DOA) has earmarked Sustainable Agricultural Practices (SAP) to transfer unsustainable agriculture into a sustainable manner. The SAP should be transferred by extension workers … …American Journal of Environmental Sciences, Vol. 9, Issue 1 · 24 Jan 2013 · 7,714 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAcceptance of Sustainable Agricultural Practices: The Case of Crop FarmersJeffrey Lawrence D’Silva, Norsida Man, Hayrol Azril Mohamed Shaffril, Bahaman Abu SamahProblem Statement: Agriculture for numerous years has been a source of income generator that offered wide opportunities for employment and enhancing the socio-economic status of mankind in many countries. Without doubt acceptance of agricultural sustainable practices will bring much benefit to the farming community especially in the long run to overcome the scarcity of resources and continuous income. Aim of … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 2 · 6 Jun 2011 · 8,678 accessesView PDFCite
Review ArticleOpen accessIn the keywordsWater Contamination in Livestock Production: Impacts, Causes, and Mitigation StrategiesMarothi Vincent Sebela, Khetho Ratshilumela NemutandaniWater contamination poses a significant threat to sustainable livestock production, directly affecting animal health, productivity, and product safety. This systematic review synthesizes existing literature on the impacts, causes, and mitigation strategies of water contamination in livestock production systems. A systematic literature search was conducted across Google Scholar, PubMed, and ScienceDirect databases using key terms including "water contamination," "livestock," and "water … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 17 Feb 2026 · 1,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Agritechnologies on the Biomass and Nutritional Parameters of Crops: A Study of Corn, Soybean, and Pea in Southeast KazakhstanGulvira Yessenbayeva, Aruzhan Ilyas, Serik Kenenbayev et al.The study investigates the impact of various agritechnologies on the biomass and nutritional parameters of corn, soybean, and winter pea cultivated in Southeast Kazakhstan. This research is particularly relevant given the significant challenges facing agriculture in Kazakhstan, including soil degradation, reduced arable land, and the need for sustainable farming practices. Organic and traditional farming methods were evaluated for their effectiveness … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 16 Feb 2026 · 1,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Investigation of the Pollution Haven-Halo Nexus in Eastern and Southern AfricaPaul KauluThis study looks into the relationship between trade and pollution in Eastern and Southern Africa from 1977 to 2016. This timeframe is particularly relevant as it was marked by rising CO₂ emissions despite major climate agreements such as the Kyoto Protocol (1997), Reducing Emissions from Deforestation and Forest Degradation (REDD+, 2007), as well as the Paris Agreement (2015). Using time-series … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 28 Jan 2026 · 2,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternet of Things and Human Neocortex Inspired Algorithms for the Plant Disease Prediction-Sheath Blight for Paddy PlantThangaraj Ethilu, K. Parthiban, Arockia Jayadhas S et al.Sheath blight disease (Rhizoctonia solani) poses a critical threat to paddy (Oryza sativa) production, causing up to 50% yield losses under conducive environmental conditions. Existing computer vision-based disease detection systems identify infections only after symptom manifestation, while conventional machine learning prediction models suffer from high computational demands, data preprocessing requirements, and noise sensitivity. This research proposes a novel Hierarchical Temporal … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 1,772 accessesView PDFCite