An Explorative Study on Learnable Happiness to Amplify Playing Skills through Sangam Game Oraiyaduthal

To live in harmony with nature, ancient men faced many challenges and increased their energy. There are many types of ancient games. Ancient games depend on traditional social networking sites. Sports have been important since the time when mankind started climbing the development ladder. The purpose of the study is to explorate the learnable happiness to amplify playing skills through sangam game oraiyaduthal. 100 female athletes from Avinashilingam University who participated at least in district level competitions in different sports were subjected to sampling. These Samples were used to find out the improvement in learning happiness and playing skills. The data obtained were analyzed using synthesis in social science. One-way analysis of variants and T- tests were used to detect significant mean difference value. Using this the relationship of the classified samples were known. Overall, the present study has two important conclusions. First it is known that the oraiyaduthal game has produced high levels of subjective happiness and secondly, by using the Game Image Skill Questionnaire test, it was found that strategy, targeting, perception, emotion, sportsmanship and handling tough situations among team and individual athletes have been enhanced. In this, team athletes showed more improvement than individual athletes

An Empirical Analysis of Timber Trade in India

Forests are renewable resources that contribute significantly to economic growth. The economic contribution by forest is through the valuable commodities including wood, paper and non-timber forest products. One among this is timber, it has been the primary material for house construction and furnishings of all kinds over the years. Timber plays a vital role in international trade in India. This study was focused on finding growth pattern in export and import of timber using Compound Annual Growth Rate (CAGR). Over the period of 2005-2019, the production of timber has been increased at the rate of 0.07%. The import performance was dominant over the export due to over requirements of raw materials. Although export showed positive growth rate at 0.15%, import of timber shot up at 4.09% from 2005-2019. Therefore, it is necessary to introduce adequate due diligence system to meet domestic demand of timber production in India

Price analysis and forecasting patterns of maize grown in the states of Tamil Nadu and Karnataka

Maize (Zea mays L.) is the most important cereal crop in India. It serves as a vital component in the food, feed and industrial sectors and contributing significantly to the agricultural economy. This study analyses the price dynamics and forecasting patterns of maize in India, with a specific focus on the regional markets of Salem in Tamil Nadu and Haveri in Karnataka, over a 10-year period from 2015 to 2024. A comprehensive time series analytical framework was employed, incorporating tools such as the Compound Annual Growth Rate (CAGR), seasonal indices, standard deviation and coefficient of variation, along with the Autoregressive Integrated Moving Average (ARIMA) model, to investigate trends, seasonal behaviour, price volatility and price forecasting. This study highlights long-term trends in the area, production and yield of maize at both national and state levels. The studies revealed that Tamil Nadu demonstrated comparatively stronger growth performance than Karnataka, with higher averages across all parameters. This advantage could be attributed primarily to improved irrigation infrastructure, adoption of hybrid varieties and targeted policy support. Seasonal index analysis uncovered distinct price movement patterns, with Salem showing seasonal peaks in August and Haveri in September, coinciding with lean supply months. Price volatility analysis showed moderate fluctuations, with Salem exhibiting slightly greater variability. The ARIMA model predicted a gradual rise in maize prices from July to December 2025 in both markets. This research provides meaningful insights for farmers, traders, policymakers and agri-business firms to develop better crop planning, price risk management and marketing strategies

Assessing the impact of AI on the academic learning of agricultural students

Generative Pre-trained Transformers (GPTs) are transforming agricultural science education by enhancing students\u27 critical thinking, creativity and decision-making skills. However, concerns exist regarding over-reliance and diminished independent analytical thinking. This study investigated the impact of GPT usage among undergraduate and postgraduate students at Tamil Nadu Agricultural University. A structured questionnaire was employed to collect primary data from 164 students (122 GPT users and 42 non-users). The research adopts a descriptive design and utilizes statistical tools such as percentage analysis, Garrett ranking, Relative Importance Index (RII) and exploratory factor analysis to assess the influence of GPTs on cognitive skills. The findings indicate that the GPTs enhance efficiency, creativity and problem-solving, they additionally possess the risk of overreliance, reducing independent analytical thinking. Factor analysis revealed key dimensions, including decision-making enhancement, overreliance on AI and the impact on problem solving of agricultural science students. The study concludes that balanced AI integration is essential for maximizing GPT\u27s advantages while minimizing dependency. Agricultural institutions should promote critical engagement strategies to ensure responsible AI use and foster an optimal AI-human synergy in the academic learning process of agricultural students

Exploring Household Wood Preferences among Consumers in Coimbatore

Aims: This study aims to comprehensively investigate and analyze the factors that shape consumer preferences for various types of wood in the context of household applications in Coimbatore. By delving into the intricate dynamics that guide wood selection for domestic purposes, the research seeks to identify the underlying drivers that influence consumer choices. Through a meticulous examination of factors such as material versatility, eco-friendliness, aesthetic appeal, and material uniqueness, the study aims to provide a nuanced understanding of the key determinants that significantly impact the preferences of consumers when it comes to selecting specific wood varieties for furniture, decor, and other household uses. By shedding light on these preferences, the research aims to contribute valuable insights that can aid businesses, manufacturers, and policymakers in tailoring their products and strategies to better align with the evolving demands and preferences of consumers in the Coimbatore region. Study Design:  Exploratory research design. Place and Duration of Study: The present study was conducted in the year 2023 during June and July Methodology: The data were collected from 120 consumers in Coimbatore city using snowball sampling and Convenience sampling will be used to select the respondents for the present study with the help of a well-structured interview schedule used to scale the factors. To analyze the data using factor analysis to identify the main factors that influence consumers’ preference for wood such as availability, price, durability, appearance, eco-friendliness, and personal preference. Results: Factors analysis provides that material excellence factors which comprise four factors versatile and modifiable, eco-friendly, aesthetic appeal, and uniqueness of material with a variance of 63.770 percent were the most influenced factors for preference for wood. Conclusion: In conclusion, this study employed factor analysis to discern the key determinants shaping consumers' wood preferences. The analysis revealed that material excellence, encompassing factors related to versatility, eco-friendliness, aesthetic appeal, and material uniqueness, accounted for a significant variance of 63.770 percent in influencing wood preference. These findings emphasize the paramount importance of considering factors beyond traditional attributes like availability, price, and durability, and highlight the significance of holistic material qualities in shaping individuals' choices in wood selection

Impact of drone technology on agriculture - farmers' perception analysis

Unmanned aerial vehicles (UAVs), or drones, are revolutionizing agricultural practices by enhancing precision and efficiency in crop management. This study examines the impact of drone technology on agriculture in Coimbatore district, Tamil Nadu, focusing on farmers' perceptions and the extent of drone adoption. Covering a sample size of 120 farmers, the research explores various aspects of drone usage, including its benefits and challenges. Key advantages include reduced chemical usage, improved crop monitoring, precise irrigation, increased yields and water conservation. Government initiatives like the Kisan Drone program support the adoption of agricultural drones through subsidies and financial aid. However, high initial costs, technical complexity and regulatory barriers limit widespread adoption, particularly among small and marginal farmers. Custom hiring centres and enhanced government support are identified as potential solutions. Statistical methods such as binary logistic regression, propensity score matching and factor analysis are used to analyze adoption patterns and barriers. Findings reveal that drone spraying is the most common application, with higher awareness and adoption rates among educated farmers. The study concludes with recommendations to improve accessibility, reduce costs and expand training programs to benefit farmers across all socioeconomic segments

Challenges in Adopting Value Addition Technologies in Arecanut

The rise of opportunity for stakeholders in the arecanut sector to explore the potential of value-added arecanut products. The arecanut farmers are facing a lack of training on arecanut practices, the improper post-harvest practices deteriorate the quality of nuts that cause the nuts to fetch lower price in the market. They are also not aware of the opportunities for value added arecanut. The knowledge level of post- harvest practices of arecanut is lacking among arecanut growers. The arecanut farmers sell the raw nuts to the pre-harvest contractors without knowing the opportunities available in arecanut value addition. The contractors in turn they carry out the value addition and sold in the market. The price of the nut is mainly decided by its quality which correlates to post-harvest practices and value addition that plays a major role in arecanut value.The study investigated the challenges encountered by arecanut farmers in adopting value addition technology.The datas were collected among arecanut farmers related to the challenges they face in adopting value addition technology. The ex-post facto research design was employed; several kinds of constraints were gathered through a literature study and expert opinion. They were given in an interview schedule for the farmers to rank accordingly. The acquired data were analyzed, and ranks were assigned based on Rank-Based Quotient percentage.The major challenges faced by the arecanut farmers were Lack of credit (85%), Inadequate knowledge of value addition technology (82.5%), No re-training facilities (81.675), Lack of equipment/facilities (78.33%), Lack of market (74.17%) and Contacting extension agents (56.67%).By overcoming these limitations, arecanut farmers can adopt value addition technology, leading to profit

Taste and choice: A comprehensive conjoint analysis of processed mango juice attributes

The food processing sector in India is experiencing significant growth, driven by urbanization, population expansion, and evolving consumer lifestyles. Among the various segments, the market for processed mango juice is rapidly expanding, especially in the Asia Pacific region due to the increasing demand of consumers for natural and nutritious beverages. In India, the processed mango juice market is also expected to grow substantially, supported by major brands foreseeing the immense market potential. This is further aided by a favourable climate for mango cultivation. Despite challenges such as seasonal availability and price fluctuations, consumer preferences are shifting towards healthier options, positioning the processed mango juice market for continued expansion in the coming years. This study focuses on consumer preferences towards the major attributes of processed mango drinks. Utilizing a purposive sampling method, data were collected from 150 respondents through questionnaires and interviews, supplemented by secondary data analysis. The research employed percentage analysis to assess consumer preferences, revealing insights into demographic characteristics that can inform marketing strategies. Additionally, a choice-based conjoint analysis was conducted to explore consumer trade-offs among product attributes—flavour, packaging material, sweeteners, and price—highlighting the importance of these factors in shaping consumer choices. The findings indicated that flavour and sweeteners are the primary factors driving consumer preferences, with a significant emphasis on taste over price and packaging considerations, ultimately leading to the identification of the most preferred product combinations based on total utility values

Market analysis on insecticide usage patterns for vegetable crops in Krishnagiri district in Tamil Nadu

This study examines insecticide usage patterns among vegetable farmers in the Krishnagiri district of Tamil Nadu, reflecting the growing importance of insecticides in safeguarding crop health amidst increasing pest pressures. The global insecticide market is expanding rapidly, with India being the fourth-largest producer of agrochemicals and a significant exporter. Insecticides are essential for controlling pests such as thrips, whiteflies and various caterpillars, which can cause substantial yield losses. Using a stratified simple random sampling method, data were collected from 300 farmers across 25 villages in Hosur tehsil between May 2024 and June 2024. The research assessed socio-economic profiles, insecticide usage patterns and the sources of information for purchase decisions. Findings reveal that local agricultural dealers are the primary source of information, with a notable preference among farmers for brands such as BASF and IIL. Most farmers reported using insecticides primarily during the Kharif season, suggesting seasonal dependency. The study also highlights a tendency among farmers to favour specific brands over extended periods, reflecting brand loyalty and trust in local suppliers. Overall, the results provide valuable insights into the practices and challenges faced by vegetable farmers, which can help inform agricultural policies and marketing strategies for insecticide producers in the region.

Assessing consumer preferences for plant-based ice cream: A conjoint analysis of soy and almond milk varieties

India, as the world's largest producer of milk, faces significant challenges due to the perishability of dairy products, driving demand for alternative value-added options like frozen desserts. Plant-based ice cream made from soy and almond milk offers a sustainable and healthier alternative to traditional dairy-based options. This study aims to explore consumer preferences for plant-based ice cream, addressing the growing demand for dairy-free and health-conscious dessert options. Using Choice-Based Conjoint Analysis (CBC), a survey was conducted among 120 respondents in Coimbatore, India, to evaluate preferences for plant-based ice cream across four key attributes: health benefits, taste, price and product form (cone vs. cup). Low-fat content significantly influenced purchasing decisions under the health benefits attribute. Chocolate emerged as the preferred flavour, with a utility value of 0.362, while cones were favoured over cups with a utility value of 1.612. Price was the most influential attribute, contributing 46.5% to consumer decision-making, followed by health benefits. The optimal product configuration included a cone-shaped, chocolate-flavoured, low-fat plant-based ice cream priced at Rs. 70. The findings provide crucial insights for manufacturers, highlighting the importance of competitive pricing and health-focused innovations to meet the demand for healthier, plant-based ice cream varieties in India. These results can guide product development and marketing strategies in the expanding frozen dessert market