Overview
Impact in Agriculture (e-ISSN 3122-735X) is an international, peer-reviewed,
open-access journal publishing high-quality original research, review articles, and applied studies
across agricultural sciences, engineering, environmental studies, and the social and economic dimensions
of agriculture. The journal aims to advance sustainable agriculture, food security, productivity,
and climate-resilient agricultural systems.
Committed to innovation, open science, and global collaboration, the journal provides an interdisciplinary
platform for research in precision agriculture, smart farming, biotechnology, food systems, supply chains,
and rural development. It particularly encourages studies integrating emerging technologies such as
Artificial Intelligence, Internet of Things, robotics, drones, big data analytics, and remote sensing
into modern agricultural practice.
Latest Articles
Article
Open Access
132 Views | 17 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
603 Views | 83 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
489 Views | 78 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
1009 Views | 199 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
624 Views | 121 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
692 Views | 102 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...
