How can you identify emerging trends in Agribusiness livestock production?

Agribusiness livestock production is a dynamic and complex sector that faces many challenges and opportunities in the global market. To stay ahead of the competition and meet the demands of consumers, producers, and regulators, you need to identify and analyze the emerging trends that affect your business. In this article, you will learn how to use various data sources and methods to spot the current and future trends in Agribusiness livestock production.

1 Data sources

One of the first steps to identify emerging trends is to collect and access relevant data from various sources. These can include industry reports, market research, trade publications, government statistics, academic journals, and media outlets. You can also use online platforms and tools that aggregate and visualize data from multiple sources, such as AgriBenchmark, FAOSTAT, and AgroPortal. These data sources can help you gain insights into the production, consumption, trade, prices, and policies of different livestock products and regions.

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Anthony Bellot
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One area that cannot be overlooked is social media. For livestock production the end consumer is where all livestock production typically ends up. Ask yourself what is going on with the consumer. Are they looking for livestock to be raised or fed a certain way can also greatly assist with making production decisions in livestock.

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Celio Lessa 2 couto junior

Analista Ambiental da empresa Instituto Estadual de Florestas
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manter-se atualizado nas demandas internas e externas da cadeia produtiva , logistica de acessos a abatedouros , capacidade instalada e ou escoamento de animais vivos, é fundamental

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Sanjoy Chandra Bhattacherjee

Senior Field Coordinator
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One thing that I mostly rely on newspaper to get data and dip dive into it.Another good thing is that personal experience in attending seminars to get information on relevant agribusiness that helps.

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Tobenna Asomugha

Founder @ Casta Farms Limited | Accounting | Data Entry | CRM | Bookkeeping
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Artificial intelligence (AI) is, essentially, the ability of a computer to imitate capabilities of the human mind and actions of the human body. In farming, AI has the power to increase revenues, boost resource efficiencies and improve sustainability, according to McKinsey. Drones are used in farming to provide more frequent, cost-effective remote monitoring of crops and livestock. Precise, self-operating machinery and robots can perform everyday tasks based on global positioning system (GPS) and imagery analysis – which are aimed at optimizing resources, reducing labor and boosting harvests.

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2 Data analysis

Once you have the data, you need to analyze it to identify the patterns, correlations, and changes that indicate emerging trends. You can use different methods and techniques to perform data analysis, such as descriptive, inferential, predictive, and prescriptive analytics. You can also use data visualization tools, such as charts, graphs, maps, and dashboards, to present and communicate your findings. Data analysis can help you understand the drivers, impacts, and implications of the emerging trends for your business.

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Márcio Oshiro

Strategy Management | Marketing | CRM | Go To Market
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Minha experiência no agronegócio destaca a importância vital de identificar tendências emergentes na produção pecuária. A análise de dados tornou-se uma ferramenta fundamental, e o uso de plataformas como o Google Trends revelou-se impontante. Monitorando padrões de pesquisa e interesse online, identificamos rapidamente mudanças nas preferências do consumidor, demandas de mercado e inovações na produção. Essa abordagem baseada em dados permitiu-nos antecipar tendências, ajustar estratégias de produção e posicionar-se de maneira proativa no dinâmico cenário pecuário. Estar atento às ferramentas de marketing digital tornou-se uma prática essencial para garantir a relevância e competitividade contínuas no agronegócio.

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3 Data interpretation

The next step is to interpret the data and the trends that you have identified and analyzed. You need to put the data and the trends into context and consider the factors that influence them, such as consumer preferences, environmental issues, technological innovations, social movements, and political developments. You also need to evaluate the reliability, validity, and relevance of the data and the trends for your business. Data interpretation can help you make sense of the data and the trends and how they affect your business.

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4 Data application

The final step is to apply the data and the trends that you have identified, analyzed, and interpreted to your business. You need to use the data and the trends to inform your decisions, strategies, and actions. You also need to monitor and update the data and the trends regularly to keep track of the changes and opportunities in the market. Data application can help you leverage the data and the trends to improve your business performance, competitiveness, and sustainability.

By using these steps and methods, you can identify emerging trends in Agribusiness livestock production and use them to your advantage. You can also learn from other sources and experts who share their insights and forecasts on the trends in the sector. However, you should always be critical and curious about the data and the trends and how they apply to your specific business situation and goals.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you identify emerging trends in Agribusiness livestock production?

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1 Data sources

2 Data analysis

3 Data interpretation

4 Data application

5 Here’s what else to consider

Agribusiness

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