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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 · 1,609 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 · 1,898 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 · 2,030 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 · 5,799 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 · 5,701 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 · 7,870 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 · 7,503 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 · 4,969 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Food Security through Flood Recession Farming: A Case Study of the Upper East Region, GhanaJohn Aloba Atubiga, Alobit Baba AtubigaSustainable Development Goals one and two aim at reducing poverty and eradicating hunger by the year 2030. However, the realization of these goals, especially among subsistent farmers in Africa, is marred by the occurrence of climatic events such as floods and drought which have retarded crop production in the sub-region. This means that there is a need to explore other … …Journal of Social Sciences, Vol. 18, Issue 1 · 5 Dec 2022 · 5,653 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate Adaptive Measures Among Smallholder Farmers in Akwa Ibom State, NigeriaObot Akaninyene, Obiekwe NgoziAgricultural production/activities in Nigeria depends on rainfall, which often occurs only at certain times of the year and thus makes agriculture very susceptible to crop failure, insect infestation which causes poor returns on agricultural produce for farmers . Adoption of climate change mitigating strategies is key to coping with variations in weather conditions and the achievement of increased agricultural production … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 19 Sep 2022 · 6,266 accessesView PDFCite