India rice export and virtual water trade

The present study aimed to assess water footprint in the production and export of rice in India. From recent few years, the water footprint conception in full swing to inward detection around the world. The amplified attention in the water footprint has impelled the trade of commodities between countries. Water footprint in the rice field is a sign of water use that exhibits direct and indirect water usage in the rice field. Rice is an important food crop in India. It accesses the flows of water virtually between countries/regions of the world to illustrate the dependency of countries/regions on water resources with other countries/regions under diverse feasible futures. Hence, it is gaining consequence to calculate the water foot print in production as well as export of rice.  The Indian rice production and export of rice was calculated by using international trade and domestic production data. The study results indicated that the global footprint of rice production was 235774 Mm3 per ton which was 53 % of green water footprint, 41 % of blue water footprint and 6 % of grey water footprint for 2018-19. The virtual water flowed in trade was 24354 Mm3/year and the percolation was 16924 Mm3/year since rice is a more water consuming crop. The share of basmati and non-basmati trade accounted was 16 % and 42 %, respectively. Virtual water trade in rice can be minimized by exporting less water demand and high-value crops, proper water harvesting structures and other agronomic practices

Impact of nontariff measures on the exports of the beverage sector in India

In the recent past, agricultural exports, especially plantation crops, which are the backbone of India, have been subjected to many nontariff measures. Since the liberalisation of trade has led to the integration of global commodity markets, developing countries are significantly affected by these trade barriers, which indirectly hurt millions of plantation community. Traditionally, India is well known for its exports of beverages and stringent maximum residual limits, traceability issues, and food safety standards are complex issues surmounting trade in the plantation sector around the world. Hence, the present research study attempts to find the shock of nontariff measures on the prices of both export and domestic beverages and the hammering in returns to the Indian beverage industry by the partial equilibrium method. This model directly measures the simulation effect of nontariff measures by imposing NTM on tea and coffee sector.  It is obvious that as the NTM percent increases from 10 percent to 25 percent on tea sector, the loss in export quantity was more from 22.24 million kg to 55.61 million kg and loss of revenue was from Rs. 2997 million to Rs. 7492 million for the corresponding NTMs. Likewise the loss in export quantity (62.85 million kg) and loss in revenue (Rs. 9412 million) were high in 25 per cent of NTM. The present study shows how to allow for market imperfections and trade facilitating effects of nontariff measures in the beverage sector.

Growth dynamics and forecasting of minor millets in India: A time series analysis

The forecasting behaviour of millet plays a critical role in production planning at the Indian farm level. This study made an effort to forecast the area and production of small millets in India with time series analysis. The performance of the forecasting models was appraised and collated by the Mean Absolute Percentage Error (MAPE), Partial Autocorrelation Function (PACF) and Auto Correlation Function (ACF) criteria. For this analysis, the yearly data of the area and production of small millet from 1950 to 2021 were calculated. Among all Autoregressive Integrated Moving Average (ARIMA) models, ARIMA (0,1,0) was found to be the best fitted for forecasting the area and production of minor millets in India since, principally, this model relies on historical ideals of the sequences in addition to earlier error relations for forecasting minor millets and it does not adopt information of any fundamental model or associations as in some other approaches. The predicted values of minor millet area showed decreased trend from 422.4 thousand hectares in the year 2022 to 409.2 thousand hectares in the year 2026. Likewise, the production under small millets declined from 393.5 thousand tons to 159.5 thousand tons for the corresponding period. Hence, production of these crops can be enhanced by suitable use of inputs and timely application of inputs, high yielding varieties, government interventions like policy support, subsidising through the Public Distribution System and awareness by the way of propaganda and demonstration

Factors influencing prevalence of anaemia among adolescent girls of 12-15 years residing in government residential schools of Balanagar mandal, Mahabubnagar District Telangana

Background: Adolescent girls are at high risk for anaemia and malnutrition. Anaemia, a manifestation of under - nutrition and poor dietary intake of iron is a serious public health problem, not only among pregnant women, infants and young children but also among adolescents. Inadequate nutrition during adolescence can have seriousconsequences throughout the reproductive years of life and beyond. Objective: To determine the prevalence of anaemia among adolescent girls of age 12-15 years residing in government residential schools. Methods: A cross sectional study conducted in Government residential schools of Balanagar mandai. 400 adolescent girls of age 12-15 years were the study subjects. Study subjects were interviewed using a pre-designed, pre-tested, semi structured proforma. Results: Prevalence of anaemia was 45.5% in study subjects with mean haemoglobin 10.42 ± 1.5090. Demographic characteristics like age, mothers education showed significant relationship with prevalence of anaemia (p<0.05).Lack of personal hygiene showed significant relation with presence of worm infestation (p < 0.05). Presence of parasitic infestation showed significant relation with prevalence of anaemia(p <0.05). Conclusion: Lack of personal hygiene, worm infestations were the major contributory factors for prevalence of anaemia

TEQIP - III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and Security

This book contains abstracts of the various research papers of the academic &amp; research community presented at the International Conference on Innovations and Challenges in Computing, Analytics and Security (ICICCAS-2020). ICICCAS-2020 has served as a platform for researchers, professionals to meet and exchange ideas on computing, data analytics, and security. The conference has invited papers in seven main tracks of Data Science, Networking Technologies, Sequential, Parallel, Distributed and Cloud Computing, Advances in Software Engineering, Multimedia, Image Processing, and Embedded Systems, Security and Privacy, Special Track (IoT, Smart Technologies and Green Engineering). The Technical and Advisory Committee Members were from various countries that have rich Research and Academic experience. Conference Title: TEQIP - III Sponsored First International Conference on Innovations and Challenges in Computing, Analytics and SecurityConference Acronym: ICICCAS-2020Conference Date: 29-30 July 2020Conference Location: Pondicherry Engineering College, Puducherry – 605014, India (Virtual Mode)Conference Organizer: Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, India.Conference Sponsor: TEQIP-III NPIU (A Unit of the Ministry of Human Resource Development, India)