In recent years, artificial intelligence (AI) has become one of the most transformative tools in agriculture. By combining AI with advanced engineering and plasma-based technologies, we can improve both precision farming and postharvest systems, reducing losses, extending shelf life, and ensuring food quality.
One of the major challenges today is postharvest loss, with 30–40% of fruits and vegetables wasted before reaching consumers. AI provides powerful solutions through:
🔹 Predictive models to forecast spoilage and monitor fruit quality.
🔹 Machine vision for sorting and grading.
🔹 Data-driven storage and packaging optimization.
🔹 Integration with smart sensors and IoT devices for real-time monitoring.
In my own work, I have carried out several projects at the intersection of AI, plasma technology, and postharvest systems, including:
- “Effect of Nano TiO₂ Plasma Technology on Increasing the Shelf Life of Oranges” – investigating how plasma and AI-based monitoring can extend freshness and preserve chemical properties.
- “Nano TiO₂ Plasma Applications for Tomatoes” – applying plasma treatment and AI models to predict and control postharvest quality changes.
- “Nano TiO₂ Plasma for Fish Feed Disinfection” – ensuring feed safety through plasma sterilization combined with AI-based risk assessment.
These projects demonstrate how AI-driven approaches can enhance both food preservation and technological innovation in related fields. By using machine learning models to analyze chemical properties, antioxidant levels, and pH changes, we can better predict the postharvest behavior of fruits such as oranges, bananas, and tomatoes.
Beyond postharvest, AI also transforms precision agriculture. With satellite data, drones, and AI-based decision-making, we can optimize irrigation, fertilization, and pest management—ensuring sustainability while reducing costs and environmental impacts.
Looking ahead, the integration of AI, plasma science, and advanced engineering will accelerate the transition towards smarter, safer, and more sustainable food systems. Collaboration among scientists, AI specialists, and entrepreneurs will be key to driving these innovations forward and addressing the global challenge of food security.