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CLIMATE CHANGE IMPACT OVER INDIAN AGRICULTURE - A SPATIAL MODELING APPROACH
Priya, Satya,Shibasaki, Ryosuke 대한원격탐사학회 1999 International Symposium on Remote Sensing Vol.15 No.1
The large-scale distribution of crops is usually determined by climate. We present the results of a climate-crop prediction based on spatial bio-physical process model approach, implemented in a GIS (Geographic Information System) environment using several regional and global agriculture-environmental databases. The model utilizes daily climate data like temperature, rainfall, solar radiation being generated stocastically by in-built model weather generator to determine the daily biomass and finally the crop yield. Crops are characterized by their specific growing period requirements, photosynthesis, respiration properties and harvesting index properties. Temperature and radiation during the growing period controls the development of each crop. The model simulates geographic/spatial distribution of climate by which a crop-growing belt can also be determined. The model takes both irrigated and non-irrigated area crop productivity into account and the potential increase in productivity by the technical means like mechanization is not considered. All the management input given at the base year 1995 was kept same for the next twenty-year changes until 2015. The simulated distributions of crops under current climatic conditions coincide largely with the current agricultural or specific crop growing regions. Simulation with assumed weather generated derived climate change scenario illustrate changes in the agricultural potential. There are large regional differences in the response across the country. The north-south and east-west regions responded differently with projected climate changes with increased and decreased productivity depending upon the crops and scenarios separately. When water was limiting or facilitating as non-irrigated and irrigated area crop-production effects of temperature rise and higher CO₂ levels were different depending on the crops and accordingly their production. Rise in temperature led to yield reduction in case of maize and rice whereas a gain was observed for wheat crop, doubled CO₂ concentration enhanced yield for all crops and their several combinations behaved differently with increase or decrease in yields. Finally, with this spatial modeling approach we succeeded in quantifying the crop productivity which may bring regional disparities under the different climatic scenarios where one region may become better off and the other may go worse off.
Machine Learning Techniques for Web Page Classification with Search Engine Optimization
Priya Pandey,Yagya Raj Pandeya 한국디지털융합학회 2023 IJICTDC Vol.8 No.2
Automated Search Engine Optimization (SEO) is crucial for streamlining processes, ensuring consistency, and adapting to changes, thereby enhancing a website's overall success and visibility in the competitive online landscape. This research introduces a dataset and a baseline method for classifying website SEO ranks into three categories. Using 26 keywords, data was collected from 780 web pages across various Google rankings, and 36 ranking factors were employed to predict their rank. Key considerations for webpage preparation include anchor text, backlinks, Ref Domain, unique visits, and text length. The Random Forest model exhibited superior performance, achieving an average accuracy of 72% in predicting actual search rankings. The significance of this automated approach lies in identifying web pages requiring SEO improvements, leading to enhanced search engine rankings.
Machine Learning Approaches for Anticancer Peptide Discovery: A Comprehensive Review
Priya Dharshini 조선대학교 기초과학연구원 2023 조선자연과학논문집 Vol.16 No.4
Invasive species are organisms that are introduced into places outside of their natural distribution range. The global pet trade is facilitating the introduction of invasive species into new countries and areas. Among the introduced alien species, turtles are one of the most common animal groups whether lives in wetland ecosystems, such as wetlands or reservoirs. Like other countries around the world, exotic turtles is becoming a growing concern for the wetland ecosystem in South Korea. In this study, we report new reports of subspecies of Painted turtle (Chrysemys spp.): Chrysemys picta marginata, C. p. bellii and C. dorsalis, from the reservoirs in downtown Cheongju and Gwangju, South Korea. We used morphological features, such as the characteristics of the legs, plastron, and carapace, to identify the turtles. It is assumed that all turtles were artificially released into nature. Considering the increasing number of reports on the introduction of alien invasive turtles in Korean wetlands, we recommend the formulation of an immediate and systematic management plan for pet trades and organized continuous monitoring programs.
Priya, K.,Pal, A.K.,Sahu, N.P.,Mukherjee, S.C. Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.11
Ninety advanced Catla catla fingerlings (av. wt. 16 g) were randomly distributed in six treatment groups with three replicates each for an experimental period of 60 days to study the effect of dietary lipid source on growth, enzyme activities and immuno-hematological parameters. Six isoprotein (40.0-41.9%) and isocaloric (4,260 kcal $kg^{-1}$) semi-purified diets were prepared with varying levels of soybean oil (SBO) and cod liver oil (CLO) within a total of 8% lipid viz., $D_1$ (Control), $D_2$ (8% SBO), $D_3$ (6% SBO and 2% CLO), $D_4$ (4% SBO and 4% CLO), $D_5$ (2% SBO and 6% CLO) and $D_6$ (8% CLO). Highest SGR was noted in $D_5$ (0.73${\pm}$0.03) group, which was similar with $D_3$ (0.71${\pm}$0.02) and $D_4$ (0.69${\pm}$0.01) groups. Activity of intestinal lipase, hepatic glucose-6-phosphate dehydrogenase (G6PDH) and aspartate amino transferase (AST) of the lipid treatment groups were significantly higher (p<0.05) than the control group. The respiratory burst activity of the phagocytes (Nitroblue tetrazolium (NBT)) was highest in $D_2$ (1.95${\pm}$0.21) followed by $D_3$ (1.19${\pm}$0.15) group, which were significantly (p<0.05) higher than the other groups. Globulin level was significantly higher in $D_3$ (1.29${\pm}$0.08) than in the other groups expect $D_4$. Hemoglobin content and total erythrocyte count did not show any significant difference. From this study, it is concluded that a diet containing 6% soybean oil and 2% cod liver oil ($D_3$) yields higher growth and immune response in Catla catla fingerlings and would be cost effective.
Priya Kesari,G. Udayabhanu,Arpita Roy,Sagar pal 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.122 No.-
Green biopolymeric materials and its hybrid nanocomposites, i.e. sodium alginate grafted polymethylmethacrylatebased titanium dioxide and iron oxide (SA-g-PMMA/TiO2 and SA-g-PMMA/Fe3O4) havebeen explored for the prevention of mild steel’s corrosion in 15% HCl. It is reflected from the electrochemicalimpedance data that SA-g-PMMA/TiO2 exhibits maximum inhibition efficiency of 97.28% followed bySA-g-PMMA/Fe3O4 that gives 96.82% efficiency while the unmodified sodium alginate possess merely84.74% efficiency. The declining trend of inhibition efficiency with rising temperature has been explainedthrough gravimetric studies conducted at 303 K- 333 K. The thermodynamic activation and adsorptionparameters revealed the mixed mode of adsorption of inhibitors over mild steel surface which followLangmuir adsorption isotherm. It has been observed from tafel polarization studies that all studied inhibitorsare mixed type in nature. The surface morphological inspection of the mild steel samples was donethrough FE-SEM and AFM, which revealed the formation of better protective adsorption layer over theexposed metallic surface by the nanocomposites in comparison to sodium alginate alone. In additionto this, the elemental composition of adsorbed film on inhibited mild steel specimens was obtained byXPS technique. Quantum parameters obtained through Density Functional Theory (DFT) further corroboratethe experimental outcomes.