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76 results for “Agricultural Productivity”
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Research ArticleOpen accessEvery word in the titleAgricultural Waste Management Extension Education (AWMEE) The Ultimate Need for Intellectual ProductivityIraj Malek MohammadiExtension education is significant range of fields like Agriculture, Natural Resources, Environmental and Bio Diversity Conservation, Rural Development, Home Management Skill Development, Disaster Management, Waste Management, Value Adding Management. Among them, waste management extension is highly significant because of the millions of tons of annual waste in vegetal, animal, environmental and natural resources products as well as millions of hectors … …American Journal of Environmental Sciences, Vol. 2, Issue 1 · 31 Mar 2006 · 7,402 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impacts of Agricultural Supports for Climate Change Adaptation: Farm Level Assessment Study on Paddy FarmersMd. Mahmudul Alam, Mohd Ekhwan bin Toriman, Chamhuri Siwar et al.Problem statement: The climatic factors are changing very rapidly in Malaysia. To adapt farmers with the changes, government and other external agencies are providing several kinds of supports, but yet the adaptability is not that high. Approach: To analyze the climate change adaptability of the farmers in Malaysia, this study uses primary data that have been collected through questionnaire survey … …American Journal of Environmental Sciences, Vol. 7, Issue 2 · 26 May 2011 · 8,677 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRainfall Variation and Changing Pattern of Agricultural CycleMd. Mahmudul Alam, Mohd Ekhwan bin Toriman, Chamhuri Siwar, Basri TalibProblem statement: The decision of crop selection and the output of agricultural production are highly determined by the environmental factors, especially rainfall and water availability. In the tropical area, particularly in Malaysia, influences of these exogenous variables are so high that overall agricultural productions are now vulnerable. Crops are affected through rainfall in two different ways-high and low rainfalls. Avoiding … …American Journal of Environmental Sciences, Vol. 7, Issue 1 · 28 Feb 2011 · 9,254 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Determinants of Agricultural Production and Profitability in Akoko Land, Ondo-State, NigeriaFasoranti Olayiwola OlujenyoThe study considered the determinants of agricultural production and profitability with special reference to maize production in Akoko North East and South West Local Government Areas of Ondo-State. Data collection was through well structured questionnaire administered on 100 respondents selected through random sampling technique. The methods of analysis used were descriptive statistics, gross margin analysis and production function analysis using … …Journal of Social Sciences, Vol. 4, Issue 1 · 31 Mar 2008 · 8,806 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 abstractSustainable Technology for Agriculture at Extreme Altitudes: Design and Evaluation of a Sprinkler Irrigation System in a Peruvian High Andean CommunityJuan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Daniel Olivier Carranza Lizana et al.In high-altitude agroecosystems, erratic rainfall patterns and steep topography severely constrain crop productivity by exposing plants to soil water deficits during critical phenological stages. This study aimed to enhance the productivity of eleven staple and horticultural crops corn (Zea mays), tomato (Solanum lycopersicum), cucumber (Cucumis sativus), eggplant (Solanum melongena), lettuce (Lactuca sativa), carrot (Daucus carota), barley (Hordeum vulgare), celery (Apium … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 2 Oct 2026 · 645 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 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 abstractDynamics of Mobile Phosphorus and Potassium in the Soils of Agricultural Lands of Kostanay RegionAlmabek Nugmanov, Aliya Yskak, Tatiana Paramonova et al.Soil phosphorus deficiency is a growing constraint on crop productivity in the agricultural lands of the Kostanay Region, Republic of Kazakhstan, yet systematic data on the spatial dynamics of mobile phosphorus and potassium across soil types remain limited. This study assessed the availability of mobile forms of phosphorus and potassium, alongside key physicochemical properties, including soil pH and cation exchange … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 14 Apr 2026 · 1,594 accessesView PDFCite