YAŞILSCAN: The Agricultural Guardian of the Future

October 12, 2025
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The Challenge of Crop Loss

The agricultural sector faces a significant and costly problem stemming from crop rot and plant diseases. Research indicates that approximately one in every four agricultural products succumbs to rot, leading to an estimated 30% loss of the total harvest. This translates to a staggering annual product loss of 300-400 million AZN in the Azerbaijani market alone. Furthermore, current traditional methods are inefficient, demanding an additional 10-15 hours of weekly labor from the farmer and leading to inaccurate results due to human error. Critically, existing solutions often involve applying pesticides to healthy zones, causing a 30-40% waste of chemical treatments and subsequently leading to a decrease in soil fertility.

The YaşılScan Solution: AI-Powered Precision Farming

YaşılScan, which translates to "The Agricultural Guardian of the Future", offers an integrated, high-precision solution utilizing Artificial Intelligence (AI) and drones to revolutionize crop monitoring. Our solution provides complete monitoring of 50 hectares in just 1 hour via drone flight. The core of the system is the AI analysis, which identifies problematic areas with 92% accuracy. This is achieved through sophisticated algorithms like YOLOv8 for detecting rotten fruits and vegetables, and U-Net/Mask R-CNN for color-coding the diseased zones on an Orthomosaic map (e.g., marking risky areas in red). The system also employs Random Forest/Gradient Boosting models to provide disease risk prognosis. The service is made accessible via a mobile application, which immediately sends alerts to the farmer. Farmers can also use the integrated Reservation System to contact the YaşılScan team with a single click for immediate service.

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Key Benefits and Quantifiable Impact

The implementation of YaşılScan delivers significant, measurable economic and environmental advantages, setting it apart in the market. The solution enables a 30-40% saving on chemical treatments by ensuring only affected areas are targeted. It is projected to reduce product loss by 50% and save the farmer 10-15 hours of weekly labor. Financially, a 50-hectare farm can expect an average additional profit of 12,500 AZN per season. Furthermore, the reduction in chemical usage leads to cleaner soil and enhances export potential.

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Market Potential & Sustainable Development Goals (SDGs)

The Azerbaijani market presents a strong opportunity with a total cultivated area of 1.9 million hectares, including over 200,000 hectares dedicated to fruit and vegetables. YaşılScan targets a diverse customer base, including small farmers (1-10 ha), medium cooperatives (10-50 ha), and large agro companies (50+ ha), particularly those focused on export. This regional market is part of the global Smart Farming market, projected to reach $18 billion by 2025, with the Central Asia and Caucasus region alone holding a $200+ million potential.

By addressing the core issues of crop health, YaşılScan directly contributes to the following key Sustainable Development Goals:

  • SDG 2: Zero Hunger: By reducing product loss by 50% and minimizing millions in annual monetary losses, the app significantly helps increase crop yields and enhance food security.
  • SDG 12: Responsible Consumption and Production: Saving 30-40% of chemical treatments by providing targeted and accurate intervention, the solution promotes responsible consumption and minimizes chemical waste.
  • SDG 15: Life on Land:The reduction in chemical residue ensures cleaner soil, which is vital for protecting and promoting the sustainable use of terrestrial ecosystems and maintaining healthy biodiversity.
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The development of this innovative project was profoundly supported by the faculty and mentors of the Department of Automatics and Electroenergetics, whose core competencies in control systems, real-time data processing, and electrical engineering were instrumental. Their guidance ensured the system's robust performance, particularly in managing the platform's AI models and guaranteeing the stability and security of its digital financial infrastructure.