International Journal of Advances in Agricultural Science and Technology
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The Colletotrichum Gloeosporioides Epidemic in Mangoes
The earliest reported occurrence of anthracnose was 45th SMW, while the highest incidence was 31.95% on 52nd SMV. From the thirteenth to the fourteenth SMW, the illness advanced more rapidly (11.35 to 26.41%), but from the fifth to the tenth SMW, it advanced more slowly (26.73 to 9.63%). It is evident that the mango anthracnose illness may begin as early as 45 SMW (the 2nd week of November) and continue until 20 SMW (the 3rd week of May), and the window period for the disease can be defined as the 49th to 52nd SMW (30.61 to 31.95 %). To stop the illness from spreading and losses from occurring, appropriate management actions should be implemented between the 47th and 52nd MSW. Topics covered include mangoes, epidemiology, anthracnose, and Colletotrichum Gloeosporioides
THE EFFECTS OF AI ON Agricultural Quality Management Systems — An Examination of Shanghai SQ Agrotech Co., Ltd.
As an extensive management concept, Total Quality Management (TQM) stresses the need of all organizational members actively working to improve the quality of goods and services via continuous process improvement. Originally implemented in China's industrial sector, Total Quality Management (TQM) has now spread across many other industries, most notably agriculture. Precision agriculture, smart agriculture, and green agriculture have all found new life in China's agricultural enterprises thanks to TQM and the incredible advances and widespread uses of technologies like 5G, big data, satellite remote sensing, and Artificial Intelligence (AI). These innovations have been supported by government policies in China. As a result, new possibilities and obstacles have arisen for the implementation and development of TQM in farming. In this study, we will focus on the behavioral and awareness aspects of the five-factor quality management model that is based on total quality management theory: characteristic quality, tool quality, system quality, behavioral quality, and awareness quality.This study uses a questionnaire survey and interviews with Shanghai SQ Agricultural Technology Company's management and staff to investigate how AI is changing the quality of awareness and behavior in agricultural enterprises, as well as to identify the main challenges and potential solutions that AI faces when applied to quality management in these sectors.These terms are related to the following: agricultural enterprises, five-dimensional quality management framework, total quality management, artificial intelligence (AI)
Energy Harvesting From Roadways
The rapid growth in energy consumption and the need for sustainable alternatives have driven researchers to explore unconventional energy sources. Roadways, which constitute vast networks with significant vehicular activity, hold untapped potential for energy harvesting. This paper investigates innovative methodologies to harness energy from roadways leveraging advancements in piezoelectric, thermoelectric and photovoltaic technologies. Piezoelectric materials embedded in road surfaces can convert mechanical stress from vehicle motion into electrical energy. Thermoelectric systems utilize heat generated by vehicular friction and solar radiation to produce power
CARBON FOOTPRINT REDUCTION IN CONSTRUCTION PROJECTS
The construction industry is a significant contributor to global carbon emissions. This project explores methods for reducing the carbon footprint of construction projects. Key areas of focus include sustainable materials, energy-efficient practices, and innovative technologies. The project aims to develop a comprehensive framework for assessing and mitigating carbon emissions in construction
Low Cost Housing Structure Using Steel and Ferrocement
The increasing demand for affordable housing has prompted the exploration of alternative construction materials and methods to reduce costs while maintaining structural integrity and durability. This research presents the development of a low-cost housing structure utilizing a combination of steel and ferrocement. Steel, known for its strength and flexibility, is used as the primary framework, while ferrocement is a composite material made of wire mesh, cement mortar, and other additives forms the outer shell and walls. In this project ferrocement is provided with steel angles are provided. The panels are constructed for checking punching shear strength of ferrocement with steel panels for further studies. The study aims to demonstrate the feasibility of this innovative construction method as a viable solution for low-cost, sustainable housing
AUTOMATION IN CONSTRUCTION SURVEYING
Construction surveying is an essential part of the construction industry, contributing significantly to the planning, design, and execution of construction projects. Traditional surveying methods, while reliable, are time-consuming and prone to human error. In recent years, automation has revolutionized the field of construction surveying by integrating advanced technologies such as Global Navigation Satellite Systems (GNSS), robotic total stations, laser scanning, and drones (Unmanned Aerial Vehicles, UAVs). These automated systems have enhanced the accuracy, speed, and efficiency of data collection and processing. This paper explores the various automated technologies used in construction surveying, discusses their benefits, and examines the challenges of implementation. Additionally, the integration of automation with software systems like Building Information Modeling (BIM) is explored, highlighting the role of automation in modernizing surveying practices
A STUDY ON PERFORMANCE APPRAISAL IN DALMIA CEMENT
Performance appraisal in which the organization is making judgement about one is working with and about oneself. It serves as a basis element of effective work performancePerformance appraisal is essential for the effective management and evaluation staff. It aims to improve the organizational performance as well as individual development. To complete the project used primary data and secondary data. Calculating the opinions of employees by using percentage analysis and graphical method. Most of the employees given response that they are being appraised their performance by using annual appraisal report and self-appraisal report
Three Crucial Pulses: ABA-Induced Alterations to Their Pigment Contents, Photosynthetic Gas Exchange Properties, Leaf Area, and Dry Matter Accumulation
An experiment was conducted at TNAU, Coimbatore, to study the reaction of three significant pulses—Soyabean, greengram, and blackgram—to ABA that was sprayed from outside the plant. Pulse responses to drought stress demonstrate that chemical signals control stomatal aperture and photosynthesis. The exact mechanism by which Abscisic acid (ABA) chemical signals regulate the stomatal opening remains unknown, nevertheless. Thus, the purpose of this study was to determine the gas exchange parameter changes caused by ABA in the dominant soybean, green gram, and black gram varieties, and to find the crops that can improve water use efficiency by ABA treatments that maintain higher photosynthetic rates and lower transpiration rates. We grew all of the pulses in well-watered soil and gave them an ABA treatment. After the 22nd day after sowing, gas exchange metrics exhibited substantial alterations when an exogenous 10-5M ABA solution was applied for three consecutive days. Photosynthesis, leaf area, total dimethyl phosphorus, and photosynthetic pigments exhibited remarkable stability in greengram when treated with ABA sprays, although stomatal conductance decreased in all pulses. The transpiration rate was low in greengram compared to its control, while it was high in soyabean and blackgram. Clearly, under extended drought circumstances, ABA-induced increases in greengram represent an improvement in water-use efficiency. Pulses, ABA, stomatal conductance, transpiration, photosynthesis, pigment contents, leaf area, and total dry matter accumulation are all terms that fall under this umbrella
Modeling the Unpredictable Growth of Agricultural Monopolies' Output and Corporation Tax
The primary objective of this work is to provide a basic model for the production growth of a chaotic agricultural monopoly that may produce stable equilibria, cycles, or anarchy. In this work, one important hypothesis is that the coefficient π= f ( 1 -n ) (a - d) is very important for understanding the local stability of the output of an agricultural monopoly. Here, d is the coefficient of the firm's total cost function, an is the coefficient of the inverse demand function, n is the corporation tax rate, and f is the coefficient that represents the relationship between the after-tax profit of the firm in period t and the output of the firm in period t+1. The Agricultural Monopoly Firm, Agricultural Output, Corporation Tax, and Chaos are all related terms
MICROBIAL-INDUCED CALCIUM CARBONATE PRECIPITATION FOR SOIL IMPROVEMENT
Microbial-Induced Calcium Carbonate Precipitation (MICP) is a promising biotechnological approach for soil improvement. This process involves the use of microorganisms to catalyze the precipitation of calcium carbonate (CaCO₃) in soil. The microbes, commonly bacteria like Sporosarcina pasteurii, facilitate urease-mediated reactions that convert urea into ammonia and carbonate ions, which then react with calcium ions present in the soil to form CaCO₃. The precipitate increases soil strength, reduces permeability, and enhances stability, making it an effective alternative to traditional soil stabilization methods