Outlook threat at the future climate changes on livestock resources

Food availability is the most important issue that takes the priority places in the policies of all countries all over the world. Recently, more attention has been paid to livestock because of their ability to produce meat and milk, as well as it has a significant source of income for small holders and an economic contributor to the gross domestic product. Climate changes induced physiological stress, which is one of the complex factors making livestock management and husbandry challenging in many geographical locations in the world. Increased body temperature or heat stress will cause production losses in livestock and impact on their ability to maintain normal function. There is considerable research evidence that showed significant decline in animal performance when subjected to heat stress. Heat stress inflicts heavy economic losses on livestock production. The effects of heat stress is evident in feed consumption, production efficiency in terms of milk yield or weight gain per unit of feed energy, growth rate, and reproductive efficiency. The aim of this article is to discuss increasing food production to ensure food security for nearly 8 billion people, without causing further environmental damage that can be achieved by transforming systems and adopting sustainable livestock practices within a changing climate.

A Simulation Analysis of a Microalgal-Production Plant for the Transformation of Inland-Fisheries Wastewater in Sustainable Feed

The present research evaluates the simulation of a system for transforming inland-fisheries wastewater into sustainable fish feed using Designer® software. The data required were obtained from the experimental cultivation of Chlorella sp. in wastewater supplemented with N and P. According to the results, it is possible to produce up to 11,875 kg/year (31.3 kg/d) with a production cost of up to 18 (USD/kg) for dry biomass and 0.19 (USD/bottle) for concentrated biomass. Similarly, it was possible to establish the kinetics of growth of substrate-dependent biomass with a maximum production of 1.25 g/L after 15 days and 98% removal of available N coupled with 20% of P. It is essential to note the final production efficiency may vary depending on uncontrollable variables such as climate and quality of wastewater, among others.

An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model

The Yangtze River Economic Belt (YREB) is a major national strategic development area in China, and the development of the YREB will greatly promote the development of the entirety China, so research on its agricultural production efficiency is also of great significance. This paper is committed to studying the agricultural production efficiency of 11 provinces in the YREB and adopts a combination of the Data Envelopment Analysis (DEA) model and the Malmquist index to make a dynamic and static analysis on the YREB’s agricultural production efficiency from 2010 to 2019. Then, a three-stage DEA Malmquist model that eliminates the factors of random interference and management inefficiency is compared to a model without elimination. The results show that the adjusted technological efficiency changes, technological progress, and total factor productivity increased by −0.1%, 0.24%, and 0.22%, respectively. When comparing these values to the pre-adjustment values, the results indicate that the effect of environmental variables cannot be ignored when studying the agricultural production efficiency of the YREB. At the same time, the differences in the agricultural production efficiency in the YREB are reasonably explained, and feasible suggestions are put forward.

Re-Estimation of Agricultural Production Efficiency in China under the Dual Constraints of Climate Change and Resource Environment: Spatial Imbalance and Convergence

Climate change and farmland environmental pollution have put greater pressure on the sustainability of agricultural production. Based on the provincial panel data of mainland China from 1978 to 2018, climate variables such as precipitation, temperature, and sunshine hours are included into the input indicators, and agricultural non-point source pollution and carbon emissions are taken as undesirable outputs, the agricultural production efficiency (APE) under the dual constraints of climate change and the resource environment was estimated by the super slacks-based measure (SBM)-undesirable model. On the basis of the trajectory of the imbalanced spatiotemporal evolution of APE shown by Kernel density estimation and the standard deviational ellipse (SDE)–center of gravity (COG) transfer model, the spatial convergence model was used to test the convergence and differentiation characteristics of APE. Under the dual constraints, APE presents a “bimodal” distribution with a stable increase in fluctuation, but it is still at a generally low level and does not show polarization, among which the APE in the northeast region is the highest. The COG of APE tends to transfer towards the northeast, and the coverage of the SDE is shrinking, so the overall spatial pattern is characterized by a tendency of clustering towards the north in the north-south direction and a tendency of imbalance in the east-west direction. APE has significant spatial convergence, and there is a trend of “latecomer catching-up” in low-efficiency regions. The introduction of spatial correlation accelerates the convergence rate and shortens the convergence period. The convergence rate is the highest in the central and western regions, followed by that in the northeastern region, and the convergence rate is the lowest in the eastern region. In addition, the convergence rate in different time periods has a phase change. The process of improving the quality and efficiency of agricultural production requires enhancing the adaptability of climate change, balancing the carrying capacity of the resource environment, and strengthening inter-regional cooperation and linkage in the field of agriculture.

Parallel simulation and optimization framework of supplies production processes for unconventional emergencies

The outbreak of unconventional emergencies leads to a surge in demand for emergency supplies. How to effectively arrange emergency production processes and improve production efficiency is significant. The emergency manufacturing systems are typically complex systems, which are difficult to be analyzed by using physical experiments. Based on the theory of Random Service System (RSS) and Parallel Emergency Management System (PeMS), a parallel simulation and optimization framework of production processes for surging demand of emergency supplies is constructed. Under this novel framework, an artificial system model paralleling with the real scenarios is established and optimized by the parallel implementation processes. Furthermore, a concrete example of mask shortage, which occurred at Huoshenshan Hospital in the COVID-19 pandemic, verifies the feasibility of this method.

Rice Subsector Development and Farmer Efficiency in Nepal: Implications for Further Transformation and Food Security

With economic development agricultural systems in the Global South transform from subsistence farming to higher productivity with market integration and increase in rural income and food security. In Nepal, agriculture continues to provide livelihoods for two-thirds of the predominantly rural population, largely at a subsistence-level. Rice is the staple food and covers the largest land area but yields are relatively low, with an annual import bill of USD 300 Million. The study uses data from 310 households from two distinct rice producing areas to assess farmers' rice production systems. It analyses farmers' rice production efficiency using a stochastic frontier production function to suggest how to advance the transformation of Nepal's rice sector. Our study finds that while agriculture related services such as access to inputs, information, markets, irrigation, and finance have generally improved, paddy farmers are only able to achieve 76% of potential output. Small/marginal farms were relatively less efficient than medium and large farms. Women farmers faced unequal access to technologies and have lower productivity than men. Unavailability of labor and capital, land fragmentation, and the lack of consistent access to seed and fertilizers contribute to reduced efficiency. Public and private sector investments are needed to enhance the timely and adequate access to quality seeds, fertilizers, processing facilities, and equipment services. Adopting a market systems approach through cooperative farming, targeted delivery of extension services, and linkages with rice millers can promote inclusive growth and improve rice food security in Nepal.

Application of Digital Twins to Flexible Production Management: Taking a Shandong Factory as an Example

By enabling the merging of the virtual and real worlds, DT (Digital Twin) technology has considerably aided the development of businesses at both levels of digitization and networking in recent years. As an outcome, industrial research has shifted its attention to this new technology in the manufacturing business. However, there are still technical issues with DT technology, such as real-time data interaction, high integration of constituent elements, and high simulation. This paper proposes to solve these issues by presenting a framework that blends DT with 3D visualization technologies. A case study of an intelligent logistics management 3D scheduling system for a factory in Shandong verifies the applicability of digital twins to flexible production management. The example demonstrates that the framework can be synchronizing the virtual and real systems. Moreover, the framework can effectively cover the whole manufacturing life cycle, enhance production efficiency and product quality, and achieve flexible production management, helping the manufacturing industry's digital and intelligent transition.