57 results for “Yield Loss”

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Research ArticleOpen accessPhrase in the titleAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,520 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleFLYER: A Simple Yet Robust Model for Estimating Yield Loss from Rice False Smut Disease (Ustilaginoidea virens)Bodrun Nessa, Moin U. Salam, A.H.M. Mahfuzul Haque et al.Rice False Smut (RFSm) is presently an internationally important fungal disease of rice. While the Yield Loss (YL) from this disease is reported in many countries, there exists no tool to instantly estimate the YL by visual field inspection. This study developed a simple model, FLYER, for this purpose. The model is run by two inputs: (i) fraction of productive … …American Journal of Agricultural and Biological Sciences, Vol. 10, Issue 1 · 21 Apr 2015 · 8,015 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsApplication of Titanium Dioxide Self-Cleaning Coatings on Photovoltaic Modules for Soiling Related Losses ReductionAnnalisa Andaloro, Francesco FrontiniSeveral studies have assessed the influence of soiling deposition on Photovoltaic (PV) modules front-cover with regards to performance losses over time. In fact, soiling phenomena in PV systems are ascribed as responsible for medium and long-term yield reduction up to 16% over the first-year of outdoor exposure. Provided that PV technology is a low yield energy production source, maintaining module … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 5 Feb 2017 · 7,676 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEvaluation of Wheat-Chickpea Intercrops as Influenced by Nitrogen and Weed ManagementA. Abdulahi, A. Dabbagh Mohammadi Nassab, S. Nasrolahzadeh et al.Wheat and chickpea are most important crops in dryland farming areas of Iran. Weeds have major impact on chickpea grain yield. This experiment was carried out to increase land use efficiency and weed suppression through intercropping in dryland agricultural research station-Sararood, Kermanshah, Iran during 2008-10. The experimental design layout was factorial split plot based on randomized complete block design with … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 4 · 4 Dec 2012 · 8,685 accessesView PDF Cite

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 · 933 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 764 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGenetic and Environmental Interactions in Spring Wheat Resistance to Bipolaris Sorokiniana Root Rot in KazakhstanYerlan Dutbayev, Ardak Bolatbekova, Aidana Kharipzhanova et al.Common root rot caused by Bipolaris sorokiniana represents a major constraint to wheat production in Kazakhstan. This study evaluated the resistance of 30 spring bread and durum wheat genotypes under diverse environmental and treatment conditions in two contrasting regions (Almaty and Aktobe) during 2024. The experimental design included three treatment regimes: fungicide application, artificial inoculation with the pathogen, and natural … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 7 Mar 2026 · 1,523 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPod Shattering and Seed Shedding Resistance Indicators in the Soybean Collection and Hybrid PopulationsSagit Islambek, Didorenko Svetlana, Rinat Kasenov et al.Early pod shatter is a critical factor contributing to soybean yield loss, with potential losses ranging from 34 to 99%. When shatter-resistant genotypes are grown in different agro-climatic zones, there is often a loss of this resistance. Therefore, there is a need for a more detailed critical analysis of breeding methods and strategies to reduce soybean pod shatter. It has … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Nov 2025 · 2,027 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAutomating Paddy Crop Disease Classification With Deep Learning ModelsShiva Shankar J, S. Palanivel, S. China VenkateswarluRice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring an adequate supply of rice for a rapidly rising worldwide population. Agriculture and modern farming is one of the fields where IoT and automation can have a … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 5,701 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparative Genomics of Xylella fastidiosa Subsp. Pauca and Insights on its Current and Potential Movements in EcuadorCarlos Bolanos-Carriel, Eliana Granja Guerra, Jaris Veneros et al.Xylella fastidiosa subsp. Pauca causes Coffee Leaf Scorch (CLS). It is a major threat to coffee production in most South and Central American countries. X. fastidiosa is prone to intersubspecific recombination, and it is believed that this species became pathogenic in citrus and coffee due to recent mutation events and gene flow between closely related strains. CLS epidemics have not … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 23 Nov 2024 · 6,176 accessesView PDF Cite