Overview
Impact in Agriculture (e-ISSN 3122-735X) is an international,
peer-reviewed, open-access journal dedicated to publishing research in agricultural sciences and related fields.
The journal publishes original research articles, review papers, short communications, case studies, and applied studies.
The journal welcomes work that addresses crop production, plant protection, soil and water management,
livestock systems, agricultural economics, rural development, and environmental sustainability.
Research that improves productivity, resource efficiency, and resilience in agriculture is particularly encouraged.
The journal also considers studies in emerging areas such as precision agriculture, remote sensing,
automation, data-driven farming, and Artificial Intelligence applications that support modern agricultural systems.
Latest Articles
Article
Open Access
441 Views | 41 Downloads | 1–13
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Onur Ata, Özlem Onay
Late spring frost events represent a major climatic hazard for perennial crop production, particularly in regions with continental climatic conditions. In April 2025, Niğde Province in central Türkiye experienced a severe frost episode that caused extensive...
Article
Open Access
786 Views | 109 Downloads | 1–15
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Ziaul Haque, Murat Koklu, Mohammed Aquil Mirza, Marwan Omar, Saidova Mukhayyokhon
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...
Article
Open Access
578 Views | 141 Downloads | 1–8
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Yusuf Sadi Ibrahim, Usman M. Umar, Burak Sen
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...
Review
Open Access
1302 Views | 240 Downloads | 1–11
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Hewa Majeed Zangana, Shuai Li, Sharyar Wani
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...
Article
Open Access
800 Views | 154 Downloads | 1–7
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Mutlu Bulut
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...
Article
Open Access
892 Views | 135 Downloads | 1–16
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Shahnawaz Ayoub, Imran Baig, Mudasir Ashraf, Mahmoud Okasha
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...
