Impact in Agriculture – Volume 1 (2025)
Mitigating Spatial Scale Loss in CNN-Based Fine-Grained Image Classification: Application to Date Fruit Grading
Accurate classification of date fruit varieties and size grades is critical for automated grading and post-harvest quality assessment. However, conventional image preprocessing techniques based on uniform resizing often distort size-dependent visual cues, l...
Modeling Irrigation Timing and Amounts for Sunflower Under Deficient Water Conditions: A Case Study in Adana
Agriculture has been threatened by insufficient rainfall due to climate change, which makes water-saving measures essential to producing enough food for the world's expanding population. The economic and environmental viability of commercial agriculture dep...
Diffusion Models for Agricultural Imaging: A Systematic Review of Methods, Applications and Future Prospects
Diffusion models are rapidly reshaping agricultural image analysis, offering high-fidelity synthetic data generation where real datasets are limited, imbalanced, or costly to collect. Traditional augmentation and GAN-based synthesis often struggle to preser...
Time Series Analysis of Potato Prices in Türkiye: Forecasting with the Holt–Winters Exponential Smoothing Model
This study examines the behavior of monthly potato producer prices in Türkiye and evaluates the forecasting performance of Holt–Winters exponential smoothing models. Using publicly available data from 2015 to 2024, the analysis reveals a clear structural sh...
Impact of Dataset Quality on Deep Learning Models for Dragon Fruit and Leaf Health Classification
Accurate assessment of fruit and leaf health is essential for early disease detection, quality grading, and automated management in commercial dragon fruit production. Variability in illumination, symptom intensity, and morphological features often limits t...