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Research ArticleOpen accessPhrase in the titleAcceptance 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
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 accessEvery word in the titleFarmers' Use of Integrated Soil Fertility and Nutrient Management Practices for Sustainable Crop Production: A Field-level Study in BangladeshM. Golam Farouque, Hiroyuki TekeyaProblem statement: The most pressing problem for Bangladesh agriculture is the current state of gradual decreasing of soil fertility, stagnating crop yields and declining productivity in a range of food crops. According to crop production scientists, Integrated Soil Fertility (ISF) and Nutrient Management (NM) is an advanced approach that can serve as a remedy to improve crop yields and to … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 4 · 31 Dec 2008 · 7,812 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGO-NGO Support in Selected Char Areas of Sirajganj District in Bangladesh: Impact on Crop Profitability and Farmers’ Income GenerationAurup Ratan Dhar, Arifa Jannat, Md. Monirul IslamThe study was carried out to elucidate the GO-NGO support on farmers’ income generation in selected char areas of Sirajganj district. Following purposive sampling technique, a total of 60 farmers (30 non-supported and 30 GO-NGO supported) were selected for the study. Descriptive statistics, mathematical and statistical analyses were used to analyze the collected data from field survey method. The average … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 3 · 23 Oct 2017 · 8,514 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 abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractPossibilities of Stabilizing Soil Biological Activity by Treating Seeds With a Biological Preparation Based on Phosphate Mobilizing Bacteria in the Conditions of the Aral Sea Region of KazakhstanZhanar Zhumadilova, Laura Tokhetova, Shorabayev Yerik et al.This study examined the effect of Phosphate-Mobilizing Bacteria (PMB) as a pre-sowing treatment for forage crop seeds. The objective was to assess the potential of these bacterial biopreparations to improve both crop productivity and soil fertility. Research methods included agrochemical, microbiological, and conventional field analyses. The findings revealed that pre-sowing seed treatment with PMB increased crop yields by 7.4% to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 24 Sep 2026 · 642 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Active Learning Ensemble Framework for Tropical Crop Yield PredictionAmol Bhilare, Debabrata Swain, Megh Patel et al.Agriculture always has great importance among all different sectors, not only in the world but also in India. It has a significant impact on food security and largely controls the economy. At present, technological advancements have significantly enhanced agricultural productivity, but it can still be further improved by the integration of new cutting-edge techniques like Artificial intelligence. Among the factors … …Journal of Computer Science, Vol. 22, Issue 9 · 11 Sep 2026 · 819 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite