Data-Driven Solutions At Mleiha Farms Achieve 40% Reduction In Water Usage

Sharjah's innovative farming project in Mleiha has drawn global attention, thanks to its data-driven approach. Khalifa Al Tunaiji, Chairman of the Department of Agriculture and Livestock in Sharjah, highlighted this during the Regional Data & Community Development Forum. The project overcame environmental challenges by leveraging data, showcasing a successful model for sustainable agriculture.

Al Tunaiji emphasised the importance of data in achieving food security in the UAE. He noted that despite doubts about the project's feasibility due to harsh climate conditions, data played a crucial role in guiding them to success. This initiative was supported by His Highness Sheikh Dr Sultan bin Mohammed Al Qasimi's vision and expertise.

The project utilised data to select wheat seed varieties from Saudi Arabia that could withstand local climate conditions. A sophisticated platform monitored water usage, crop yields, and irrigation needs. This approach conserved 40% of water, a vital resource in the region. "Without data, we would have been stuck in a trial-and-error approach," Al Tunaiji explained.

Mleiha Farms serves as a smart farming model with advanced technology like sensors and AI-driven analysis. These tools provide precise information on crops and livestock. Data integration extends to livestock management, where smart sensors monitor cows' health metrics, enhancing milk production.

Greenhouses at Mleiha Farms are guided by data to improve agricultural efficiency. Statistics indicate a 20-30% increase in crop yields and 50% reduction in water use. Operational costs have dropped by 40%, contributing significantly to environmental sustainability.

The control centre at Mleiha Farms is equipped with satellite thermal imaging and AI analysis tools. These technologies ensure accurate monitoring of crops and livestock health. This comprehensive approach has made Mleiha Farms an exemplar of modern agriculture.

Al Tunaiji concluded that without data-driven solutions, they would face costly mistakes. Instead, predictive tools allowed them to avoid errors and optimise resources effectively. The success of Mleiha Farms underscores the potential of integrating technology into agriculture for sustainable outcomes.

With inputs from WAM