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147 results for “Crop Yield”
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Research ArticleOpen accessIn the abstractEffects of Maize Potato Intercropping and Different Fertilization Methods on Rhizosphere Soil Microorganisms and Yield of PotatoHuanjin Ma, Shengguang Xu et al.A field experiment with three replicates was conducted to explore the effects of maize-potato intercropping and different nitrogen application strategies on rhizosphere soil microorganisms and potato yield. Microbial community analysis was based on relative abundance. Maize-potato intercropping improves land use efficiency, yet how differentiated nitrogen management regulates rhizosphere microecology and potato productivity in this system remains unclear. Clarifying nitrogen-mediated shifts … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 14 Sep 2026 · 790 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection via an Improved Residual NetworkGuolin Chen, Weifeng Liu, Xinyu Zou, Xiaoxia LiDeep learning has shown substantial potential across many domains, and crop disease detection is no exception. This study investigates the application of deep learning to crop disease detection, systematically evaluating the performance of convolutional neural networks of different depths. Building on the classical ResNet-50 as the base model, we introduce a Squeeze-and-Excitation (SE) attention mechanism to enhance feature extraction. The … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 898 accessesView PDFCite
Research ArticleOpen accessIn the abstractTransforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients ManagementVivek Raj, Gregory Allen, Ananth Prabhu G., Melwin DsouzaAgriculture is changing with the aid of new technologies, particularly in several Asian countries. This research applies Artificial Intelligence (AI) and the Internet of Things (IoT) to traditional farming, particularly focusing on saffron cultivation using hydroponics. Hydroponics is especially useful as a city grows, because it not only saves space but also nourishes the plants directly through the roots - … …Journal of Computer Science, Vol. 22, Issue 7 · 28 Jul 2026 · 852 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Management and Fungicide Efficacy of Foliar Diseases in Spring Wheat in KazakhstanNadira Sultanova, Yerlan Dutbayev, Gulzada Abisheva et al.Spring wheat (Triticum aestivum L.) is a key economic crop in Kazakhstan. This study aimed to identify genetic sources conferring resistance to major foliar diseases and to quantify the contribution of fungicide application to yield stability. Field experiments conducted in 2024 assessed the resistance of 36 spring wheat genotypes, 17 common wheat and 19 durum wheat (T. durum Desf.), to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 17 Jul 2026 · 961 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Hybrid Machine Learning Model for Paddy Disease DetectionS. Hrushikesava Raju, S. Adinarayna, U. Sesadri et al.Most countries rely on paddy/rice as a preferred staple crop due to its desirable agronomic characteristics. However, during the growth cycle, undetected or delayed identification of diseases can significantly reduce crop yield. To address this, machine learning approaches are increasingly employed for early-stage disease detection. Traditional Recurrent Neural Networks (RNNs), while useful for sequential data, suffer from limitations such as … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Machine Learning Framework for Citrus Grading and Yield Prediction Using Classifier-Informed RegressionLydia Dede Obeng, Isaac O. OsunmakindeAgriculture remains a cornerstone of human sustenance, yet accurate citrus fruit grading and yield predictions remain significant challenges due to visual similarities between varieties such as oranges and grapefruits. This includes the inefficiencies of manual grading. This study presents a new dual-function machine learning system that integrates classification and regression to simultaneously grade citrus fruits and forecast crop yields. This … …Journal of Computer Science, Vol. 22, Issue 4 · 24 Apr 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractProductivity and Energy Efficiency of Hybrid Sorrel (Rumex tianschanicus × Rumex patientia) Under Various Mowing and Fertilization RegimesAltinay Naziulovna Kukusheva, Ainagul Balgauovna Kaliyeva, Zarina Mukhtarovna Sergazinova et al.Hybrid sorrel (Rumex patientia × Rumex tianschanicus) is a multi-purpose crop that serves as both a fodder source and a potential biofuel feedstock. Despite growing interest in perennial forage and energy crops, limited information is available on the performance of hybrid sorrel (Rumex tianschanicus × Rumex patientia) under varying mowing and fertilization regimes, particularly in continental climates. This study aimed … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 1 Apr 2026 · 1,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 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