India is witnessing tremendous growth in dairy industry. The milk production has increased from 20 million tonnes in 1961 to 132 million tonnes in 2012-13. India has been retaining its number one position in milk production for many years. Dairy Industry in India is growing at the rate of 10% per annum. Considering this, it is essential to know the future production to improve and sustain the growth and development of sector. The objective of the study is to find out most suitable forecasting method for milk production for sustainable future production and policy implications. The data used in study is secondary data, collected from FAOSTAT (1961 to 2012) and NDDB (1991 to 2012). Stationarity of data was checked with Autocorrelation Function (ACF) and Partial autocorrelation function (PACF), after confirming the stationarity, Autoregressive Integrated Moving Average (ARIMA) and Vector Autoregression (VAR) models were used. Akaike Information Criteria (AIC), Schwartz Bayesian Criteria (SBC), Mean Absolute Percentage Error (MAPE), R square and RMSE were used to test reliability of model. The results indicate that ARIMA (1, 1, 1) is more suitable method with the use of SPSS software package for forecasting of milk. Milk production is expected to be 160 million tonnes by 2017.

The evolution of Custom Hiring Centers (CHCs) in the context of Indian agriculture represents a century-long journey towards farm mechanization and inclusivity. This article delves into the pivotal role played by CHCs in promoting farm mechanizations and unearths the entrepreneurial ventures that have led to their significant ascent within the Indian agricultural landscape. Furthermore, it provides insights into the establishment of CHCs across various states and the government schemes in place to support their growth and development. By exploring the challenges and opportunities associated with Custom Hiring Centers, the abstract highlights the crucial role of technology in enhancing their operations. The potential of advanced technologies, including Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT), in revolutionizing CHC operations is also discussed. Overall, this article aims to provide a comprehensive understanding of the multifaceted aspects of CHCs and their impact on Indian agriculture.

The Indian agricultural education system is crucial for fostering innovation and entrepreneurship in the agri sector. This study proposes an integrated framework for revitalizing agricultural education in India, drawing on successful models from Cornell University and Wageningen University. The framework encompasses curriculum reform, research and development, industry-academia collaboration, entrepreneurship development, skill development, technology adoption, policy reforms, and government support. By implementing these changes, India can empower its agricultural workforce, boost the agri sector, and ensure food security and sustainable development for future generations.

This study analyzed the effect of cash conversion cycle on financial performance of coconut oil mills in Western Tamil Nadu. The data were collected from 40 coconut oil mills in western Tamil Nadu for five-year period from 2009–10 to 2013–14. Based on the Overall Working Capital Management Efficiency Index, the coconut oil mills were classified as efficient (70 per cent) and inefficient (30 per cent) category. Regression results revealed thatthere was a significant influence of cash conversion cycle, liquidity of firm and capital structure on financial performance of coconut oil mills in Western Tamil Nadu.

The torque required to tighten any threaded joint is different from the necessary torque to untighten threaded bolt or nut, and it is not observed or widely known since this is a regular and straightforward operation. Typically the torque needed to untighten a newly tightened clamp is around 10% to 30% less than the torque to stretch it further. During tightening a threaded bolt, a significant amount of torque required to overcome friction in the threads and under the nut face. The proportion of the torque used to overcome frictional resistance depends upon the friction value. When we tighten a joint with a coefficient of friction of 0.12, only about approximately 14% of the torque required to stretch the fastener producing the clamp load with 86% of the torque is lost overcoming friction. The torque needed to pull the bolt always acts in the untightening direction, resulted in untightening torque lags behind the tightening torque. Sufficient preload has to be there in the bolted joint to meet service requirements. In this approach tightening torque, reading is Ton, and untightening torque is as Toff and then based on Ton & Toff reading preload is calculated in the bolt and checked with the requirement. If preload is not sufficient enough to serve in all load cases, then frictional parameters are to be changed to achieve necessary preload in a bolted joint. A case study of engine mounting bolt presented with this methodology.

The purpose of this study is to investigate the impact of the Agri Clinics and Agri Business Centers (AC&ABC) scheme of the Ministry of Agriculture and Farmers Welfare (MoA&FW), Government of India, on Women Agripreneurship (WA) in Maharashtra, India. Using secondary data from 2002-2022 the AC&ABC cell at the National Institute of Agricultural Extension Management (MANAGE), we assessed WA in Maharashtra. The analysis employed descriptive statistics and visual representations. Our findings indicate that the AC&ABC scheme has limited women's participation, with only 8.6% of trained candidates being women. Maharashtra State leads in terms of trained women and established agri-ventures. Notably, older women agripreneurs, particularly in the 53-60 age group, exhibit the highest success rate. Additionally, diploma holders have a success rate of 53.95%, and preferences lean towards Livestock Farming, Agri Clinics, and Agri Business Centers. In terms of practical implications, our study underscores the need for enhanced training and support for women entrepreneurs in agriculture. Policymakers should focus on expanding training programs, providing greater financial resources, and establishing more extensive marketing networks. From a theoretical standpoint, our research highlights the untapped potential of women in agriculture and their role in promoting rural development, poverty alleviation, and women's empowerment with the support of policymakers. This study is the first exploratory examination of women participating in the AC&ABC scheme in Maharashtra, India, aimed at promoting WA. The AC&ABC scheme stands as one of the world's largest government interventions in agripreneurship promotion. Our findings reveal critical factors influencing the success of women agripreneurs in the region, offering valuable guidance for future research.