201 results for “Soil analysis”

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Research ArticleOpen accessIn the keywordsEvaluation of Soil Moisture Sensors under Intelligent Irrigation Systems for Economical Crops in Arid RegionsMohamed Said Abdall El Marazky, Fawzi Said Mohammad, Hussein Mohamed Al-GhobariProblem Statement: In irrigation water management, irrigation water use represents a substantial opportunity for agriculture water savings. Automation of irrigation systems, based on Soil Moisture Sensors Systems (SMSS) has the potential to provide maximum water use efficiency by maintaining soil moisture at optimum levels. Approach: The objective of this research was to evaluate the performance of soil moisture sensors under … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 2 · 24 Jun 2011 · 8,904 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsRelationship between Laboratory Germination and Biometric Parameters of Betula jarmolenkoana Golosk. AgletsZhandos Rakymbekov, Kurmankul Abayeva, Daniyar Dosmanbetov et al.This study evaluates the relationship between laboratory germination and biometric parameters of aglets of the critically endangered birch tree species Betula jarmolenkoana Golosk (Yarmolenko birch). The Yarmolenko birch is a very rare, narrowly endemic species, growing at an altitude of 1,900-2,100 m above sea level and only in the basins of three rivers (Kakpak, Bayynkol, and Tekes) in the Almaty … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 1 Mar 2023 · 4,912 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEffect of MgCl2 on Germination, Growth and Biomass Allocation of the Radish CV. "Cherry Belle"William Brandenburg, Catherine KleierProblem statement: To determine the effect of MgCl2 on radish (Raphanus sativus), plants were grown in controlled environmental growth chambers and given one of three watering treatments; 0.01, 0.1 and 0 M (control) MgCl2. Approach: At high concentrations (0.1 M), MgCl2 was toxic resulting in very low (44%) germination rates and the subsequent death of all but three undersized plants … …American Journal of Environmental Sciences, Vol. 7, Issue 2 · 26 May 2011 · 8,232 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsCorn (Zea Mays L.) Plant Characteristics and Grain Yield Response to N Fertilization Programs in No-Tillage SystemKesi Liu, Pawel WiatrakProblem statement: Nitrogen application timing and Nitrogen (N) rate are two important factors to influence corn production in No-Tillage (NT) system, but N recommendations may need to be revised due to insufficient rainfall in dryland rain-fed environment. Approach: This study was to determine the effects of two N application timing (planting and split application at planting and V6 corn growth … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 25 Mar 2011 · 8,340 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsCorn Response to Nitrogen Timing and Rate under Strip Tillage and Low-Yield Environment in Southeastern Coastal PlainsPawel Wiatrak, Ahmad Khalilian, Guihua ChenProblem statement: Insufficient rainfall under low yield environment may affect nitrogen management, plant growth indices and grain yields of corn (Zea mays L.). Approach: The objective of this study was to determine the effects of two N application timings (all at planting and as split application with N applied at planting and V6 stage) and five N fertilizer rates (0, … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 10 Mar 2011 · 7,992 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsTime Series Forecasting by using Seasonal Autoregressive Integrated Moving Average: Subset, Multiplicative or Additive ModelSuhartonoProblem statement: Most of Seasonal Autoregressive Integrated Moving Average (SARIMA) models that used for forecasting seasonal time series are multiplicative SARIMA models. These models assume that there is a significant parameter as a result of multiplication between nonseasonal and seasonal parameters without testing by certain statistical test. Moreover, most popular statistical software such as MINITAB and SPSS only has facility … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 29 Jan 2011 · 18,295 accessesView PDF Cite

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 PDF Cite

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 PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractOptimisation of Plant Mineral Nutrition, Growth Stimulation and Yield Enhancement Through the Use of a Bio Formulation Based on Phosphate Solubilising BacteriaZhanar Zhumadilova, Laura Tokhetova, Gulsim Baimbetova et al.The aim of this study was to evaluate the agronomic and fodder efficiency of various fertilisation treatments in relation to their effects on plant growth, chemical composition, and soil properties. The study evaluated the effectiveness of a bio-formulation based on Phosphate-Solubilising Bacteria (PSB) in combination with mineral fertiliser (N60P90 + N30) in enhancing the productivity of forage crops and improving … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 23 Sep 2026 · 385 accessesView PDF Cite