Review of Sustainable Irrigation Technological Practices in Agriculture

The paper focuses on the increasing demand for water and its impact on irrigated agriculture, emphasizing the importance of effective water management. It reviews the use of soil moisture sensors, IoT, big data analytics, and machine learning in agriculture, particularly in the context of Indian agriculture. The study explores the potential of IoT technologies, such as sensors, drones, and machine learning algorithms, to optimize water usage, minimize waste, and enhance crop yields. The role of big data analytics in sustainable water irrigation management and decision support systems is highlighted. The integration of IoT and sensory systems in smart agriculture is discussed, addressing both the challenges and benefits of implementing sensory-based irrigation systems. Additionally, the paper describes an automated irrigation system developed to optimize water use for crops, utilizing a distributed wireless network of sensors and a web application. The system, powered by photovoltaic panels, demonstrated significant water savings of up to 90% compared to traditional irrigation methods in a sage crop field. The system's energy autonomy and cost-effectiveness suggest its potential utility in water-limited and geographically isolated areas

Kinetics of nitrogen in sodic soil of Kumulur village, Trichy District, Tamil Nadu under different organic and inorganic amendments

Currently more than 20 per cent of the world’s irrigated land is salt affected. Of that about 60 per cent are sodic soils, warranting greater attention for efficient and eco-friendly environmentally amelioration techniques. Transformation and availability of several plant nutrient elements are affected by soil sodicity. Alkali/sodic soils are to be reclaimed so as tomake nutrients available to plants optimally. A laboratory incubation study was examined to analyse the impact of various amendments, either alone or in combination with nitrogen (N) @75 kg/ha, on the physico-chemical characteristics and nitrogen dynamics in sodic soil of Kumulur village Trichy District, Tamil Nadu (pH-10.4, EC-0.40 dS, m-1, ESP-31.8). The investigation was conducted at ADAC&RI in Trichy with three replications and eight treatments in a completely randomized design. The treatments used for sodic soil reclamation utilizing a standardized procedure were Gypsum (GYP) + Green manure (GM) @ 6.5 t ha-1 (T2), Distillery spent wash (DSW) @ 5 lakhs liter-1(T4), and Green leaf manure (GLM) @ 12.5 t ha-1(T3). Soil samples were taken at 15-day intervals from the 15th to the 60th day and tested for NH4-N, NO3-N, and accessible nitrogen. Using DSW, GYP + GM, and GLM, the pH of the water was decreased from 10.2 to 8.37, 8.42, and 9.21, respectively. The soil pH dropped the most in the DSW-controlled treatments. The application of nitrogen alone without any amendments (T5) recorded a higher value (135 kg ha-1) during an initial period (15 days) only and thereafter declined sharply due to various losses, i.e., volatilization, denitrification or fixation. When nitrogen was applied along with amendments, a significant (CD-0.05%) buildup in available N contents was observed over the application of N alone. Available nitrogen (325 kg ha-1), nitrate nitrogen (102 kg ha-1) and ammonical nitrogen (205 kg ha-1) were significantly increased due to the addition of amendments. However, the decline in available N with incubation period was only marginal when nitrogen was applied along with amendments. An increase in NH4-N at 30 DAI might be due to the release of nutrients. A slight increase in the nitrate-N content of the soil was observed at the end of the incubation period due to microbial oxidation of NH4-N to NO3-N. The application of amendments could save a quantity of N dose besides reclaiming the sodicity

A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials

Current characterization methods of the so-called Bulk Heterojunction (BHJ), which is the main material of Organic Photovoltaic (OPV) solar cells, are limited to the analysis of global fabrication parameters. This reduces the efficiency of the BHJ design process, since it misses critical information about the local performance bottlenecks in the morphology of the material. In this paper, we propose a novel framework that fills this gap through visual characterization and exploration of local structure-performance correlations. We also propose a formula that correlates the structural features with the performance bottlenecks. Since research into BHJ materials is highly multidisciplinary, our framework enables a visual feedback strategy that allows scientists to build intuition about the best choices of fabrication parameters. We evaluate the usefulness of our proposed system by obtaining new BHJ characterizations. Furthermore, we show that our approach could substantially reduce the turnaround time

Social Media Communication and Customer Loyalty with the Mediating Role of Social Customer Relationship in Retail Chain Stores in Sri Lanka

The main aim of this study is to investigate the impact of social media communication on customer loyalty and social customer relationship and examine the mediating role of social customer relationship between social media communication and customer loyalty. An online survey was used to gather information from followers of retail chain store Facebook pages in Sri Lanka, total of 340 respondents were invited to collect the information. The proposed model was tested using structural equation modeling, and confirmatory factor analysis was used to assess the reliability and validity. The main finding of this study is that the social media communication influences consumer loyalty and social customer relationships positively, while social customer relationships partially mediate the relationship between social media communication and customer loyalty among customers of retail chain stores in Sri Lanka. Retail chains use many marketing communication tools to attract and retain their customers, they should dedicate their effort to implement social media communication as one of the marketing communication media strategy for improved customer loyalty. Keywords:Social media communication, social customer relationship, Customer loyalty, Marketing communication strategy DOI: 10.7176/EJBM/13-14-09 Publication date:July 31st 202

Advertisements on TV or Online: Which makes customers more likely to buy? With the mediating role of length of the video

This research investigates the intricate dynamics influencing consumer behavior in the context of television (TV) advertising, online advertisements, video length, and purchase intentions. With the primary objectives of assessing the impact of TV advertising and online advertisements on consumer behavior, the study formulates and tests hypotheses related to these relationships. Utilizing a quantitative approach and the sample survey method, the study employs Structural Equation Modeling (SEM) to analyze the interrelationships between the selected variables within a sample of 400 participants in Sri Lanka. Acceptance of hypotheses H1 and H2 underscores the substantial impact of TV advertising and online advertisements on consumer behavior. Standardized regression coefficients indicate significant positive relationships between TV advertising and both consumer purchase intention and video length. Similarly, a distinct influence of online advertisements is highlighted, demonstrating a substantial positive relationship with consumer purchase intention. Examining direct paths from TV advertising and online advertisements to consumer purchase intention, with video length as a mediating variable, suggests partial mediation. These findings provide actionable insights for marketers, emphasizing the intricate relationships among advertising mediums, content characteristics, and consumer decision-making. Keywords: TV Advertisement, Online Advertisement, Length of video and Consumer purchase intention. DOI: 10.7176/JMCR/91-06 Publication date: December 30th 202

Multi-Objective Optimization in Friction Welding Process Parameters on EN353 Alloy Steel using Taguchi based GRA

Joining of similar materials by varying the input factors on a continuous drive friction welding process is done in this study. The intention is to find the optimal solution in friction welding input process parameters. Among several types of welding processes, friction welding forms good metal joints. The process factors considered for this material joining practice are Upset Time (UT), Heating Time (HT), Heating Pressure (HP), Upset Pressure (UP), chemical composition and measurements of the materials. Frictional joints provide better mechanical properties, hence it is attracted by researchers. Here, EN353 is used as the specimen, for its extensive usage in the automobile and manufacturing sectors. Axial shortening, hardness testing and the temperature during welding are evaluated, compared and optimized using Taguchi Design of Experiments (DoE) scheme using L27 orthogonal array and Grey Relational Analysis (GRA)

Selection of Machining Parameters of Face Milling operation for Aluminium with HSS cutter using Response Surface Methodology and Genetic Algorithm

Components used in chemical equipments are produced from forging, extrusion and casting processes with classic dimension tolerances due to its producing ability. So machining processes were introduced for close tolerance assembly and improve the product working efficiencies. At present,  lot of machining processes are available for producing chemical equipments such as turning, milling, drilling and grinding etc.,. Milling operation is playing critical role on making the chemical equipment’s components with high accuracy and higher productivity. Face milling operation is one of the milling processes which is used for achieving higher flatness and surface finish of chemical equipment’s parts. Thiswork concentrates the parameters influence on Material Removal Rate (MRR) and Surface Roughness (SR) by using aluminium as work piece material. Actually, aluminium alloy has the  most significant in chemical industries because of its inherent properties such as, corrosive resistance , low weight to strength ratio. The milling parameters such as feed rate, spindle speed  and depth of cut are selected as parameters for improving the quality and productivity. This work put together the link between input and response variables for developing the face milling performances. The Response Surface Methodology (RSM) is employ for making the link between dependent and independent variables. Building the empirical model by conducting regression analysis The performance of developed regression models are verified with experimental results. Verification results show the developed models have best agreement with experimental results. The developed models are used for achieving the best input parameters by using Genetic Algorithm (GA). Finally, the optimal parameters are evaluated by GA

Performance Comparisons of Routing Protocols in Mobile Ad Hoc Networks

Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes that dynamically form a network temporarily without any support of central administration. Moreover, Every node in MANET moves arbitrarily making the multi-hop network topology to change randomly at unpredictable times. There are several familiar routing protocols like DSDV, AODV, DSR, etc...which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols DSDV, AODV and DSR based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator.Comment: 9 Pages,10 Figures, 3 Table