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125 results for “Food Crop”
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Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 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 abstractIntegrated ARIMA and Multi-Scale GRU for Crop Recommendation and Yield Prediction in Precision AgricultureVani Vijay Kumar Ballapuram, Gurupraksh Chirathahalli DyamannaAgriculture is the fundamental source of food, income, and livelihood for rural communities in India. Numerous crops are affected due to the lack of technical decision-making support and variations in weather patterns, temperature, rainfall, and atmosphere factors, which play a critical role in defining crop yield. Hence, choosing the appropriate crop to maximize yield is key to enhancing real-time farming … …Journal of Computer Science, Vol. 21, Issue 10 · 26 Nov 2025 · 2,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,792 accessesView PDFCite
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 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractGrowth Performance and Yield of Brassica rapa Var. Chinensis with Takakura and Conventional CompostKiew Vincent Wei Shuen, Mohd Effendi WasliComposted organic waste from food and plants is great for enhancing crop productivity and agricultural sustainability. However, the different composting methods produced by compost with home-based waste applied to growing media for crop growth remain a topic to discuss. Thus, the aim of this study is to evaluate the growth performance and yield of Brassica rapa var. chinensis (B. rapa) … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 24 Feb 2024 · 7,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection Using Deep Learning Techniques on ImagesKinjal Vijaybhai Deputy, Kalpdrum Passi, Chakresh Kumar JainAgriculture plays a crucial role in the economic development of many countries and sustains the global population despite facing various challenges like climate change, pollinator decline, and plant diseases. These threats to food security highlight the need for innovative solutions to prevent crop loss. Leveraging smartphone technology for automated image recognition-based disease diagnosis has emerged as a promising approach, thanks … …Journal of Computer Science, Vol. 19, Issue 12 · 25 Oct 2023 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficiency of Japanese Millet (Echinochloa Frumentacea) Fodder Crop Cultivation in the Arid SteppeNurbolat Mukhanov, Nurlan Serekpayev, Nurlan Balgabayev et al.Japanese millet is a relatively new, valuable fodder crop. 100 kg of Japanese millet hay contains 54.0-60.5 kg of feed units or 6.9 kg of digestible protein. Besides, Japanese millet makes it possible to obtain environmentally friendly food, since the plant is not affected by diseases and pests, therefore, the use of pesticides is not required when cultivating it. However, … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 18 Sep 2023 · 4,963 accessesView PDFCite
Review ArticleOpen accessIn the abstractBotanic Products as a Sustainable Alternative in the Control of Rice and Grape Pests in South AmericaRicardo Diego Duarte Galhardo de Albuquerque, Frank Romel Leon-Vargas, Carmen Cerdeña del Aguila et al.Pests present a major threat to agricultural crops, leading to diminished yields, economic losses, and potential food insecurity. In South America, rice and grape cultivation have become increasingly significant due to their economic value, contribution to food security, and role in exports. However, these crops are vulnerable to pests such as Oebalus poecilus, Hydrellia wirthi, and Pseudococcus viburni. The reliance … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 19 Feb 2025 · 5,298 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Synopsis of Environmental Heavy Metal PollutionAnyiam N. Donald, Pene B. Raphael et al.Heavy metal pollution continues to be a serious problem in the environment due to uncontrolled pesticide use, mining, foundry operations, smelting, fossil fuel burning and sewage sludge dumping. Mercury, lead, chromium, cadmium, copper and other heavy metals are non-biodegradable and remain in the environment in regions where human activity is prevalent. Heavy metal contamination is a serious hazard to all … …American Journal of Environmental Sciences, Vol. 18, Issue 5 · 7 Dec 2022 · 8,323 accessesView PDFCite