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Controlling the health of dairy cows is crucial for increasing global dairy food output. Dairy farmers are losing faith in the sector as cows suffer from a range of health issues, disease outbreaks that are unpredictable, and expensive breeding expenses. As a consequence, farmers must use efficient technology techniques for cow health monitoring in order to enhance milk output. This study looked at a range of wireless sensor-based automated dairy cow health monitoring systems. The fundamental purpose of wireless sensor network (WSN) based smart surveillance systems in agricultural optimization is to follow the health of dairy cows on a continual basis. This monitoring gadget must be installed in both local and remote farm areas so that interested farmers may monitor their cattle's movements throughout the day from several places. The data collected by the automated system would be kept in a database. Farmers may then obtain data using farm automation to execute effective farm management techniques. Furthermore, WSN is a low-cost device created exclusively for identifying illnesses in dairy cows. This achievement in sophisticated technology agricultural automation would assist to boost productivity by reducing human involvement. This article summarises all livestock tracking techniques, as well as the issues and challenges that they confront. [ABSTRACT FROM AUTHOR]

Controlling the health of dairy cows is crucial for increasing global dairy food output. Dairy farmers are losing faith in the sector as cows suffer from a range of health issues, disease outbreaks that are unpredictable, and expensive breeding expenses. As a consequence, farmers must use efficient technology techniques for cow health monitoring in order to enhance milk output. This study looked at a range of wireless sensor-based automated dairy cow health monitoring systems. The fundamental purpose of wireless sensor network (WSN) based smart surveillance systems in agricultural optimization is to follow the health of dairy cows on a continual basis. This monitoring gadget must be installed in both local and remote farm areas so that interested farmers may monitor their cattle's movements throughout the day from several places. The data collected by the automated system would be kept in a database. Farmers may then obtain data using farm automation to execute effective farm management techniques. Furthermore, WSN is a low-cost device created exclusively for identifying illnesses in dairy cows. This achievement in sophisticated technology agricultural automation would assist to boost productivity by reducing human involvement. This article summarises all livestock tracking techniques, as well as the issues and challenges that they confront. [ABSTRACT FROM AUTHOR]

Cattle are one of the most important livestock species in Nigeria because they provide multiple services to farmers and contributes to the national economy. In order to advance the benefits of cattle production, there are several breeding and genetic improvement programmes which have been implemented to enhance productivity of the indigenous cattle and pastoral livelihoods. However, after about 100 years of breeding and genetic improvement programmes, Nigeria still struggles to derive expected benefits from cattle production. Hence, this study was carried out to analyse previous cattle breeding and genetic improvement programmes in Nigeria to identify their successes and pitfalls as well as potential roles of post genomics technologies for advancing cattle production. The study identified optimization of indigenous cattle for meat and milk production as the main objective of the previous breeding and genetic improvement programmes; unfortunately, major pitfalls of the programmes are unrealistic breeding objectives and inadequate relevant stakeholder involvement. Furthermore, during their heydays, some of the programmes were successful, popular, and exemplary; but the shortcomings in planning and execution contributed to their failures. After analysis of 9 regional and national cattle breeding and genetic improvement programmes implemented in Nigeria, for cattle breeding and genetic improvement programmes in Nigeria to be among the league of successful similar programmes around the world, there is a need to consider genomic selection of cattle for genetic improvement. Also, the study suggested the need for collaborative networks among scientists, ranchers, breeders associations, smallholder farmers, institutions, biotechnology companies, government ministries, departments, agencies; and non-governmental organizations operating in the domain of cattle breeding, genetics, reproduction and production for advancement of cattle breeding and genetic improvement programmes in Nigeria. [ABSTRACT FROM AUTHOR]

Network structures have drawn a lot of research interest in recent years. However, little is known about how the diversity, complexity, and structure of the multi-actor networks associated with a project shapes information exchange and linkages in different contexts. This study, conducted in 2017, addresses this deficiency by analyzing the social networks in three villages, and it was directly set up in response to operationalizing a smallholder dairy development project. Social network analysis was used to characterize the networks and to look into network configuration and information exchange dynamics. Data were collected through household-level interviews with the project's participant farmers and key project stakeholders, supplemented with other Participatory Rural Appraisal (PRA) techniques. Analysis focused on network visualization and estimation of specific network parameters for comparison. Results indicated that public sector actors were the key drivers in all these smallholder networks. Flow of information was favored both vertically and horizontally in the network, which was configured at a later stage, rather than in the project piloting stages, owing to unique actor alignment and multiplicity of ties. The networks were also found to vary in terms of some of the network attributes, signaling varying levels of network integration and brokerage potential. Better cohesiveness and information spread was observed in the network, which had the right mix of information acquisition and exchange networks. The study offers valuable lessons with respect to connectedness of network actors, need for multi-actor alliance, and implication of centrality measures in determining network dynamics. [ABSTRACT FROM AUTHOR]

Globally, dairy sector is undergoing phenomenal changes in terms of technology, feed quality, health & quality of breed, quality assurance, equipment & machineries, diversification of milk products and marketing concept. This is forcing the dairy sector to relook at the current strategy. With consideration of existing challenges and opportunities at milk producers, milk processors, marketers and consumers level, this review article has outlined overarching viewpoints and subsequently, has explored how the dairy sector needs to adapt. Study has been extended from global to National level including the state of West Bengal. Indian Dairy sector needs to take care of a few basic problems like shortage of quality feed & fodder, quality bovine breed and below par milk producers' selling price. In addition, a few relevant opportunities should be availed through co-product generation as a part of holistic approach in handling dairy farming and dairy industry. In view of significant socio-economic dependency in Indian context, revenue model needs routine exploitation from biogas generation, culling of unproductive animals, adoption of economies of scale at milk federation level and effective institutionalization in states like West Bengal to establish this dairy sector as a sustainable source of livelihood. [ABSTRACT FROM AUTHOR]

In Indonesia, because of the rapidly growing demand for dairy products, the development of milk production in rural communities can play a strong role in reducing poverty. However, the development of smallholder dairy production requires adequate support from the government, development organizations, and private firms. To assess the needs and situations of poor dairy farmers, we conducted a study in Ciater sub-district in West Java Province to compare the current situation with the situation that prevailed 4 years ago, i.e., before the implementation of a dairy development project. Data were collected from 61 farms in June 2014. The average number of cows on the farms surveyed was three to four, and each relied on cultivating an average of 0.4 ha of forage. Results showed that thanks to the project activities, milk productivity per cow and net income from milk production increased by 25 % between 2010 and 2014. These results underline the importance of providing training and technical support for the development of the livelihoods of dairy smallholders. [ABSTRACT FROM AUTHOR]