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125 results for “field crop”
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Research ArticleOpen accessPhrase in the titleAgricultural Resources Allocation and Field Crops CompetitionElgilany Ahmed, Jamalludin Sulaiman, Saidatulakmal MohdProblem statement: Field crops are considered as essential cash and food crops produced in River Nile State (RNS) of North Sudan include cereal, food-legumes, vegetables and fodders beside the perennial crops. They are the main source of household income and regarded as a major part of the daily diet for the Sudanese. In other words they play an important role … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 7,979 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFactors that Influence Rice Production and Technical Efficiency in the Context of an Integrated Crop Management Field School ProgramMoh. Nur Rasyid, Budi Setiawan, Moch. Muslich Mustadjab, Nuhfil HananiThis research estimates the effect of production input on rice production and the effect of socio-economic factors on the technical efficiency of rice farms in the program of the Integrated Crop Management Field School (ICMFS). Data were collected from 78 rice farmer household heads from two randomly chosen villages in Indonesia. The results show that seed, fertilizer, pesticide and labor … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 14 Nov 2016 · 8,182 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 titleField Evaluation of a Pneumatic Prototype Machine Designed to Control the Colorado Potato Beetle in Potato CropsSaad Almady, Mohamed KhelifiThe Colorado Potato Beetle (CPB), Leptinotarsa decemlineata Say, 1824, is a major insect pest of potato plants. It can greatly reduce potato yields if left uncontrolled. The most effective method of controlling the CPB is to apply chemical insecticides during its life cycle. However, the CPB tends to develop resistance to chemicals. Therefore, its control is difficult. This has prompted … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 26 Dec 2022 · 6,403 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWheat Production and EconomicsElgilany Ahmed, Jamalludin Sulaiman, Saidatulakmal MohdProblem statement: The crop in the irrigated scheme has faced by manifold problems contributed to low level of productivity and high cost of production of wheat. The crop is commonly produced under pump irrigation from the River Nile. In River Nile State (RNS), wheat is grown under the irrigated sector, the State is considered as a suitable environment for producing … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 4 Aug 2011 · 10,569 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
Review ArticleOpen accessIn the abstractCriniviruses at the Crossroads of Virology and Agroecology: Molecular Dialogues, Vector Synchrony, and Translational Control Strategies in Crop SystemsMd. Abdullah Al Sabbir, Nabela Akter, Ankita Saha, Md. Motaher HossainCriniviruses, members of the Closteroviridae, illustrate how molecular evolution, vector ecology, and climatic variability converge to determine plant virus emergence and persistence. Although individual genomic and transmission traits are well studied, their cross-scale integration has remained limited. Recent advances in comparative genomics and high-throughput sequencing have revealed that bipartite genome reassortment, recombination hotspots, and quasi-species microdiversity provide the genetic flexibility … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 22 Sep 2026 · 469 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