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30 articles for “rainfall rate”
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Research ArticleOpen accessPhrase in the titleEffects of Selected Low-Risk Insecticides and Rainfall Rate on Bemisia tabaci Population and Pepper Yellow Leaf Curl Indonesia Virus Incidence on ChiliAndi Nasruddin, Iftitah Kartika Amaliah, Nurul Arfiani et al.Pepper Yellow Leaf Curl Indonesia Virus (PepYLCIV) is a damaging chili disease in Indonesia. Chili growers depend on synthetic insecticides to control the disease by suppressing its vector population, Bemisia tabaci Genn. This study assessed the efficacy of several low-risk insecticides in suppressing the B. tabaci population and PepYLCIV incidence during the dry and rainy seasons. Treatments consisted of different … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 26 Jan 2024 · 5,826 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleRainfall Attenuation and Rainfall Rate Measurements in Malaysia Comparison with Prediction ModelsMandeep Singh Jit Singh, Syed Idris Syed Hassan, Mohd Fadzil AinAttenuation due to rain is a primary cause of communication impairment on satellite-earth paths, especially above 10GHz. Rainfall is a serious source of attenuation at such a frequency. This paper presents the characteristics of rain distribution in USM based on measured one minute rain rate. For attenuation of rain, predictions models like ITU and VIHT (Variable Isotherm Height Technique) model … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 6,938 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEarth-To-Space Improved Model for Rain Attenuation Prediction at Ku-BandMandeep Singh Jit Singh, S. S.I. Hassan, M. F. Ain et al.A model for predicting rain attenuation on earth-to-space was developed by using the measurement data obtained from tropical and equatorial region. The proposed rain attenuation model uses the complete rainfall rate cumulative distribution as input data. It was shown that significant improvements in terms of prediction error over existing attenuation model obtained. …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,725 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Rainfall Forecasting Using Sequential Momentum-Based Artificial Neural Networks for Urban Flood ManagementSherin K K, G. SuganthiUrban floods cause severe disruption in densely populated cities and damage essential public infrastructure. Rapid urbanization and weak drainage systems further increase the risk during heavy rainfall. Accurate short-term rainfall forecasting is required to support early warning and reduce losses. This research focuses on improving rainfall prediction accuracy using an Artificial Neural Network trained with a new optimizer named Sequential … …Journal of Computer Science, Vol. 22, Issue 4 · 9 Apr 2026 · 1,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Soil Loss Using GIS and RUSLE Model in Bakiya River Basin (BRB), Central NepalSujan Bista, Naresh Kazi Tamrakar, Kishor Rimal, Arju BhattaraiSoil erosion is the major geological hazard in the fragile landscape of Sub-Himalaya. This study examines the susceptibility of the Bakiya River Basin (BRB) in Central Nepal to soil erosion because of its steep topography, fragile geology, the impact of intense monsoon rainfall, and the lack of a direct monitoring mechanism available for rainfall-runoff. This study examines the spatial variations … …Current Research in Geoscience, Vol. 14, Issue 1 · 20 Oct 2025 · 3,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainable Technology for Agriculture at Extreme Altitudes: Design and Evaluation of a Sprinkler Irrigation System in a Peruvian High Andean CommunityJuan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Daniel Olivier Carranza Lizana et al.In high-altitude agroecosystems, erratic rainfall patterns and steep topography severely constrain crop productivity by exposing plants to soil water deficits during critical phenological stages. This study aimed to enhance the productivity of eleven staple and horticultural crops corn (Zea mays), tomato (Solanum lycopersicum), cucumber (Cucumis sativus), eggplant (Solanum melongena), lettuce (Lactuca sativa), carrot (Daucus carota), barley (Hordeum vulgare), celery (Apium … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 2 Oct 2026 · 645 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 abstractEnvironmental Effects of Biomass Carbon Modified Bioretention Pond Fill Layer in Sponge City GardensWen Cao, Beibei ZuWith the expansion of urban green areas, the resulting increase in green waste has become the second-largest solid waste in the city. Green waste contains a lot of minerals and the recycling of its resources has become the urgent task of urban green development. Biochar technology is more in line with the concept of green environmental protection in Sponge City. … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 10 Jul 2024 · 4,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Nonlinear Models for Dry Matter Yield of Brachiaria Hybrid cv Cayman in Drought Season by BootstrappingDanny Villegas Rivas, Nora Valbuena Torres, Manuel Milla Pino et al.The dynamics of biomass accumulation at different seasons of the year is of vital importance in the production of a forage species. In this study nonlinear models (logistic and gompertz) to describe growth dynamics of plants based on dry matter yield of Brachiaria hybrid Cayman at different interval between cuts in drought season were used. Results for logistic and gompertz … …OnLine Journal of Biological Sciences, Vol. 21, Issue 1 · 15 Mar 2021 · 6,640 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrend Analysis of Precipitation, Groundwater Level and Flow Rate Data by using Mann-Kendall and Sen's Slope Estimator Statistical Tests in the Petorca CommunerHéctor L. Venegas-Quiñones, Mark Thomasson, Pablo A. Garcia-ChevesichThis article analyses one of the most complex socio-environmental conflicts in Chile: The Petorca water crisis. Petorca has been experiencing a shortage of water for several years. The cause of these variations has not yet been completely analyzed and the problem has remained unchanged. This paper evaluates hydrology variables to identify, quantify and demonstrate the cause of water shortages in … …American Journal of Environmental Sciences, Vol. 15, Issue 6 · 10 Jan 2020 · 8,421 accessesView PDFCite