In the heart of Spain, researchers are redefining the future of sustainable agriculture, and their findings could reshape the energy sector as we know it. José Manuel Brotons-Martínez, from the Economic and Financial Department at Miguel Hernández University in Elche, Spain, has led a groundbreaking study that evaluates the performance of various agroecological strategies for greenhouse tomato production. The results, published in Frontiers in Artificial Intelligence, shed light on a promising intersection of agriculture and renewable energy.
The study, which focuses on economic, social, and environmental criteria, introduces an innovative approach to decision-making in agriculture. By employing an extension of the CRITIC (Criteria Importance Through Inter-criteria Correlation) model, Brotons-Martínez and his team have developed a method that considers the attitudinal character of decision-makers, using Ordered Weighted Averaging (OWA) and induced variables. This method, known as Induced Probabilistic OWA CRITIC (IPOWA CRITIC), provides a more nuanced understanding of the sustainability of different agricultural practices.
One of the standout findings is the potential of mobile photovoltaic shading in greenhouse tomato production. This technology, often referred to as agrovoltaics, involves the use of movable solar panels that can be adjusted based on the needs of the plants. “The use of mobile photovoltaic mesh is a sustainable production strategy,” Brotons-Martínez explains. “It not only improves the production and quality of the crop but also contributes to CO2 fixation and significant savings in irrigation water.”
The implications for the energy sector are profound. As the world seeks to transition to renewable energy sources, the integration of agriculture and solar power could provide a dual solution. Greenhouses equipped with mobile photovoltaic shading can generate clean energy while simultaneously supporting sustainable food production. This synergy could lead to a more resilient and efficient use of land, benefiting both farmers and energy providers.
The study also highlights the importance of considering multiple criteria in decision-making. By evaluating economic, social, and environmental factors, the IPOWA CRITIC model offers a comprehensive approach to assessing the sustainability of agricultural practices. This method could be applied to other crops and regions, providing valuable insights for policymakers, farmers, and energy companies alike.
As the world grapples with the challenges of climate change and food security, innovations like mobile photovoltaic shading represent a beacon of hope. By harnessing the power of the sun and optimizing agricultural practices, we can create a more sustainable future for all. The research published in Frontiers in Artificial Intelligence, translated to Frontiers in AI, marks a significant step forward in this journey, and it is likely to inspire further developments in the field of agrovoltaics and beyond.