Accurate monitoring of nitrate and nitrite concentrations in water is essential for sustainable agriculture, safeguarding public health, and protecting aquatic ecosystems from nutrient pollution. Traditional methods for detecting nitrate and nitrite in water samples are precise but costly, complex, and time-consuming, limiting their practicality for frequent on-site testing. This research proposes deep learning-based computer...

Plant growth is significantly impacted by the concentration of nutrients in the soil. Accurate and real-time measurement of nitrates and nitrites levels remains a significant challenge. Existing laboratory-based methods are expensive, time-consuming, and labor-intensive, highlighting the need for a rapid, on-site solution. This study proposes a rapid method for measuring nitrates and nitrite levels in water samples collected f...

Spelt wheat ( Triticum spelta L.), known as an ancient cereal, is gaining popularity again due to its exceptional dietary value, adaptability to climate change, and low resource inputs. However, limited information is available about the diverse spelt lines agronomic and nutritional performance under fluctuating environments in central Europe. To determine agronomic and grain nutritional characteristics of 46 spelt wheat genot...