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Cuba Boosts Agriculture Sector with New Labiofam Plant

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Olalekan Adigun
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Cuba Boosts Agriculture Sector with New Labiofam Plant

In a bid to enhance its agricultural sector, Cuba is constructing a new plant, courtesy of biopharmaceutical company Laboratorios Biofarmacéuticos (Labiofam). This facility, more than 90% complete, aims to diminish imports and bolster local agricultural production, with a keen focus on crop farming. It also eyes possible export opportunities in the future.

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Boosting Local Agriculture

During his visit, Cuban Vice President Salvador Valdés Mesa reviewed the progress of the plant construction. He highlighted the plant's significance for the country's food security and sovereignty. Valdés also emphasized the necessity for a fire prevention system and suggested the project's inclusion in the natural disaster reduction plan.

Exploring Agricultural Areas

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Valdés also visited agricultural areas in Villa Clara province, inclusive of the Taón Production Agency and farms such as La Veguita. Here, he interacted with local producers who are playing an active role in supplying food and contributing to the local agriculture.

Agriculture and Technology in Cuba

Cuba, an island nation in the northern Caribbean Sea, Gulf of Mexico, and Atlantic Ocean, has a significant history, including Spanish colonization, the Cuban Revolution, and communist rule. Despite challenges such as economic downturns and political unrest, Cuba has made strides in literacy, infant mortality, and life expectancy. The country is currently focusing on improving its agricultural sector through the integration of technology. Biopharmaceutical company Labiofam's new plant is a testament to this commitment.

This news comes as the Farming as a Service (FaaS) market experiences rapid growth through the integration of technology. The adoption of innovative solutions is driving significant traction in the market, with the use of cutting-edge technology expected to drive the market’s expansion. The benefits include increased productivity and efficiency through data-driven decision making.

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