16 pages, Producing sufficient food to satisfy nutritional needs is imperative for building a prosperous society. This study examined trends in agricultural yields, water and sanitation services, and nutrition indices in Nigeria. Secondary data from the FAO-FAOSTAT (2000–2020) were utilized and analyzed using descriptive statistics, the respective coefficients of variation and determination, the Mann-Kendall trend test, the Pearson correlation and multivariate regression for statistical inferences. The results show trends for data on several variables. GDP per capita and population numbers were positively correlated with the number of children under five years of age who were stunted, and the proportion of population and number of people using safely managed and at least basic drinking water and sanitation services. A major result was the significant positive relationship between cassava yield and number of children under five who were stunted. Also, there was the negative influence of population numbers on cassava and maize yields. If not attended to, the outcomes of these relationships are expected to exacerbate nutrition insecurity and stunting in children under five. An improvement in the national indices on agricultural yields and nutrition security is imperative for the accelerated attainment by 2030 of the national nutrition security targets and the SDGs.
8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.
8 pages, Street foods play an important role in the lives of urban population members in developing countries. The food industry provides many job opportunities. The food safety knowledge, attitude, and practices of vendors are important aspects, as these individuals provide food and nourishment at very low prices to people all over the world. Most street foods are unhealthy because of the high risk of contamination, which poses a serious threat to food safety. The present study aimed to assess the food safety knowledge, attitudes and practices of vendors and the most significant influencing factors of these aspects with the help of cluster analysis to categorize vendors. The present study focused on 100 vendors who were randomly selected from different locations in Lucknow city. The information was collected through a structured questionnaire using the KAP (Knowledge Attitude Practice) scale for food safety. Vendors were clustered on the basis of the KAP using two-step cluster analysis and a chi -square test to assess the impact of various personal factors on the KAP. The results of the study indicated that street vendors are significantly differentiated on the basis of qualifications, knowledge, attitude and practices. Awareness and training programs should be implemented to improve the food safety knowledge, attitudes and practices among vendors. Once food safety standards are acceptable, it will then be critical to ensure that poor people in developed cities such as Lucknow can earn a living through a "convenient" enterprise such as street food vending.
9 pages, This study examines the labour of small-scale farmers during ploughing and develops a power tiller with the view of reducing the hardness of work and increasing the field operation capacity. The machine is designed and fabricated based on standard engineering principles for part-sizing and selection of materials. It is tested and the performance results obtained are compared to manual ploughing. Performance parameters were determined from fieldwork and laboratory experiments. The average depth, width of cut and operation speed were 14.84 cm, 24.56 cm and 3.48 km/h, respectively for power tiller compared with 10.62 cm, 18.97 cm and 0.49 km/h, respectively for manual ploughing. Average field efficiency and theoretical field capacity were 88.23%, and 0.096 ha/h, respectively for the power tiller compared with 96%, and 0.0136 ha/h for manual ploughing. Fuel consumption revealed for power tiller is 1.99 l/h. The field capacity of the machine was 0.075 ha/h which was higher than 0.013 ha/h for manual ploughing. The results show that the machine is suitable for small-scale farmers. Economic assessment of the power tiller is work to be done.
10 pages, Agricultural environment in many developing economies has become increasingly unpredictable in recent decades as a result of climate change, increasing the risk of crop failure. Access to meaningful information is required to mitigate the negative effects of the changing environment. This study examined the impact of agricultural extension services on the adoption of soil and water conservation (SWC) practices using data obtained from farming households in Northern Ghana. A multivariate probit model was used to assess the simultaneous or/and substitution adoption of SWC practices, while endogenous switching probit (ESP) was used to estimate the impact of extension services on adoption of SWC practices to account for observed and unobserved heterogeneities. The results showed that most of the SWC practices were adopted jointly, and factors such as non-farm economic activites and farm size influence the adoption of SWC practices. Moreover, farmers who accessed agricultural extension services had a higher probability of adopting most of the SWC practices (crop rotation, contour ploughing and manure application), and those who did not benefit from extension services would have had an equally higher likelihood of adopting the SWC practices had they accessed the services. The findings of the study imply that enhancing agricultural extension services will reduce adoption gaps in SWC practices, and consequently reduce farmers’ exposure to climate-related agricultural production risks. With growing information and communication technologies, pluralistic extension service delivery that mixes governmental and private-sector-led approaches to extension operations to foster demand-driven extension delivery services are highly recommended.
11 pages, In this paper, we investigate the interdependence among changes in the prices of beef, pork, and chicken in Japan using a time-varying coefficient vector autoregressive model. Our empirical analysis using monthly data from January 1990 to March 2014 shows that changes in beef prices have long-term influences on changes in pork and chicken prices. Moreover, current changes in the prices of beef, pork, and chicken are closely related to changes in their prices in the preceding two months. Additionally, we do not find that the bovine spongiform encephalopathy outbreak announced by the Japanese government in September 2001 had a long-term influence on the dynamic relationships among changes in the prices of beef, pork, and chicken in Japan.
10 pages, Food safety is a growing concern worldwide but is especially prevalent in Nepal. Agriculture is the country's critical economic sector, and its sustainability is challenged due to the increasing use of agrochemicals. As a result, low Soil Organic Matter (SOM), reduced crop productivity, increased food safety hazards, and negative impacts on human health and the environment are reported in the agriculture sector in Nepal. In 2018, the concept of Good Agriculture Practices (GAP) was introduced in Nepal to address the issues of food safety, trade, and sustainability. As GAP is relatively new to Nepal, it is still broad and ambiguous, which makes its use and implementation difficult. For this purpose, we conducted a literature review on available global evidence to present the benefits of GAP and to identify the critical barriers to the adoption of GA. The review shows GAP's potential to increase crop yield by up to 36%, reduce agrochemicals use by 31%, increase SOM from a mean of 3.32%–3.77%, and increase farmers' income by more than 100%. However, the review has also identified barriers to wider adoption of GAP, broadly categorized into production, extension, regulation and standards, and markets and finance. The valuable outcome of this review is that it proposes five key pathways: (i) Technical capacity building, (ii) Awareness creation, (iii) Soil fertility management strategies, (iv) Extension programs, and (v) Market development for institutionalizing GAP in Nepal, based on the learning from global evidence. This review could be useful for policymakers and the government of Nepal to develop detailed implementation guidelines for GAP, including appropriate policies as well as short, medium, and long-term plans and programs for institutionalizing GAP in Nepal.
7 pages, Climate change is considered primarily as a human-created phenomenon that is changing the way humans live. Nowhere are the impacts of climate change more evident than in the food ecosphere. Climate-induced changes in temperature, precipitation, and rain patterns, as well as extreme weather events have already started impacting the yield, quality, and safety of food. Food safety and the availability of food is a fundamental aspect of ensuring food security and an adequate standard of living. With climate change, there have been increasing instances of observed changes in the safety of food, particularly from a microbiological standpoint, as well as its quality and yield. Thus, there is an urgent need for the implementation of advanced methods to predict the food safety implications of climate change (i.e., future food safety issues) from a holistic perspective (overall food system). Artificial Intelligence (AI) and other such advanced technologies have, over the years, permeated many facets of the food chain, spanning both farm- (or ocean-) to-fork production, and food quality and safety testing and prediction. As a result, these are perfectly positioned to develop novel models to predict future climate change-induced food safety risks. This article provides a roundup of the latest research on the use of AI in the food industry, climate change and its impact on the food industry, as well as the social, ethical, and legal limitations of the same. Particularly, this perspective review stresses the importance of a holistic approach to food safety and quality prediction from a microbiological standpoint, encompassing diverse data streams to help stakeholders make the most informed decisions.
19 pages, The global climate change and rapid population increase are raising challenges for food security, and it demands efficient crop improvement methods that ensure superior quality and quantity of the crops. The advancements in nanotechnology can be explored to enhance sustainable crop improvement. Recently, nanotechnology has made massive revolutions in solving various problems faced by the human population, including the agriculture, environment and food sectors. In agriculture, nanotechnology has implications on every stage of farming, including seed germination, growth, harvest, processing, storage and transport of agricultural products. Nano fertilisers, nano herbicides, nano-fungicides, nano biosensors, nanoscale genetic carriers, nano-bioremediating agents and nanocomposites for packing are the novel applications of nanotechnology in the crop improvement area. Nanotechnology ensures the site-specific delivery of the nutrients in the plant's target region, which minimises the loss and increases efficiency. The reduced size of the nanomaterials offers a broader surface area for pesticides and fertilisers, drastically escalating disease and pest control in crops as they promise to overcome the shortcomings caused by traditional pesticide application. The advancement in nanotechnology is rapidly contributing to the digitalization of agriculture also. For example, nanotechnology widens the horizons of high-tech agricultural farms with the aid of biosensors.
The synthesis of nano enzymes also revolutionized the stress-tolerant mechanism of the plants by acting as an efficient antioxidant enzyme, and it has been widely used against salinity tolerance recently. The contribution of nanotechnology in effective transfer of genetic material in gene editing and genetic engineering techniques has also significantly contributed towards crop improvement. Nanobioremediation and nanophotocatalysis methods can also remove toxic substances from the environment. It is clear that, nanotechnology driven agri-food sector is expected to bloom in the near future. This review article summarizes the potential benefits of nanotechnology in agriculture and related fields, including the environment and food industry. Although nanotechnology has contributed a lot to the betterment of the world in various ways, they also face several limitations. Despite being a frontier of scientific advancement in the modern era, the negative impacts caused by nanotechnology cannot be sidelined. Therefore, this review also discusses the limitations of nanotechnology in the last section.
11 pages, The world population is increasing in a disquieting rate while the quantity of food to gratify this snowballing human population is an annoyance to agrarian scientists and policymakers around the globe. Today's population is snatching natural resources from the future which can endanger the future generation's right to have nutritious food and clean air. The causes for this challenge can be enumerated and listed out, but singled out as lack of and/or poor implementation of novel approaches and practices for sustainable agriculture. Some of the novel approaches are but not limited to climate smart agriculture (CSA), organic farming, biodynamic agriculture, sustainable intensification and regenerative agriculture; and novel practices as integrated farming system (IFS), precision agriculture, integrated nutrient management (INM) and integrated pest management (IPM). The adoption of these approaches and practices has been proven to safeguard agricultural sustainability.
