LIFE-ACCLIMATE focuses on seven key objectives to enhance greenhouse agriculture:
- Increase Crop Yield: Utilize advanced monitoring systems, including ground and aerial robots, to achieve a 25% increase in crop yield.
- Improve Water Efficiency: Implement precision irrigation and fertigation strategies, reducing water consumption by 25%.
- Enhance Energy Efficiency: Optimize energy use for heating, cooling, and lighting through AI-based controls, aiming for a 25% reduction in energy consumption.
- Remove Pesticide Usage: Deploy bio-based pesticides and advanced IPM/IDM systems to eliminate chemical pesticides and reduce pest impact by 50%.
- Optimize Nutrient Management: Develop precision techniques to optimize fertilizer use and reduce nutrient loss by 20%.
- Reduce Greenhouse Gas Emissions: Adopt sustainable practices to cut greenhouse gas emissions by 20%.
The project involves three production campaigns with tomato cultivation, leveraging autonomous robots and IoT devices for data collection to optimize resource use and validate predictive models. AI models will forecast resource needs, predict pest and disease outbreaks, and estimate productivity. Replication trials with other crops, such as lettuce , cucumber and pepper, will ensure the innovations’ adaptability across diverse greenhouse systems, paving the way for more sustainable and climate-resilient agriculture.