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8 results for “Crop Loss Analysis”

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Research ArticleOpen accessPhrase in the titleMissouri Spring Freeze Event and Crop Loss Analysis for the Years 1982-2015Mirza Mohd Shahriar Maswood, Ali Koleiny, Scott Nickell et al.A spring freeze is an unexpected freeze event occurring in late spring that can result in severe domestic crop loss. These events coincide with seasonal weather conditions that promote early crop development. As a consequence, early growth is most susceptible to freeze damage. Spring temperature fluctuations pose significant threat to crop yield and growth, when compared to onsistently cold springtime … …American Journal of Agricultural and Biological Sciences, Vol. 13, Issue 1 · 4 May 2018 · 8,734 accessesView PDFCite
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 · 922 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancements 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 · 2,508 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 abstractCompetition Effects of Date of Sowing and Nutsedge Removal Time on Yield and Yield Contributing Characters of Tef [Eragrostis tef (Zucc.) Trotter]Abdul Shukor Juraimi, Mahfuza Begum, Ahmed Mohammed Sherif, Anuar Abdul RahimProblem statement: Tef [Eragrostis tef (Zucc.) Trotter] is a C4 grass, most important indigenous cereal crop in Ethiopia. The average grain yield of this crop is low; averaging <0.8 Mg ha-1. Under appropriate cultural practices such as the right sowing date, sowing rate, weeding time and fertilizer application, tef could produce grain yields of 2200-4599 kg ha-1. A delay in … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 7,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ecological Survey of Microorganisms Associated with Plantain Roots (Rhizosphere)Bello O.S., G.A. UtangProblem statement: Micro-organisms are more predominant around root zone and as such play a vital role to plant. Micro-organisms are diverse and have property modification which are beneficial to plant growth and root development. Approach: The lack of knowledge on the specific microorganisms associated with plantain roots in Cross River State soils (which inturn leads to an avoidable loss of … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 31 Dec 2011 · 8,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Wireless Sensor Network Channel in Agricultural ApplicationNaseer Sabri, S. A. Aljunid, R. B. Ahmad et al.Problem statement: In this study, the behavior of small scale fading channel due to a moving sink node of a Wireless Sensor Network (WSN) or moving of surrounding objects is presented. Approach: Specifically, this research introduces the effects of multipath and scattering on the transmitted signal due to mobile sink node within forest or closed field filled of reflectors and … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,096 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite