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- MakaleAçık Erişim2026Scopus SJRQ2The Relationship Between Agricultural Carbon Dioxide Emission and Agriculture Subsectors Production: Static Panel Data Approach
Peker, Ayşe Esra; Akdağ, Nuran; Veysikarani, Dilek; Kaya, Mustafa Göktuğ; Kaya, Perihan Hazel
Human activities contribute to carbon dioxide (CO₂) emissions, which have serious environmental, economic, and social effects of climate change. This has sparked efforts to find large-scale solutions to eliminate the causes of climate change. While these solutions mainly involve reducing carbon emissions through global agreements, individual nations have also taken steps to cut emissions by changing production methods, such as irrigation and fertilisation, to ensure the efficient and effective use of resources and the proper storage and transportation of food. As a result, the agricultural sector is both a source and a victim of this process. The sector’s environmental impact varies due to differing production techniques and energy needs across various sub-sectors like vegetable, grain, and fruit production. Increases in carbon dioxide emissions in this sector are connected not only to production activities but also to demographic and social factors, such as the rural population proportion. This study aims to explore the effect of vegetable, grain, and fruit production, as well as the rural population ratio, on carbon dioxide emissions. To achieve this, a static panel data analysis was conducted across 21 European countries from 1970 to 2023. According to the research findings, vegetable production increases carbon emissions from agriculture. However, it was found to have a significant, albeit borderline, impact on fruit production and to reduce carbon emissions. These results demonstrate that agriculture's contribution to carbon dioxide emissions varies by sub-sector and provide valuable information for developing sustainable agricultural policies.
- MakaleAçık Erişim2026Scopus SJRQ2Pollution estimation and health risks assessment related to the agricultural application of mussel shell-derived chitosan as organic amendment
Arslan Topal, E. Işil; Topal, Murat; Çelik, Erdal; Öbek, Erdal
In this study, estimation of pollution and assessment of health risks related to the agricultural application of mussel shell–derived chitosan as organic amendment were evaluated. Furthermore, considering WHO maximum permissible levels in soil, the application rates of chitosan to agricultural soils were calculated. Geo-accumulation index (Igeo), enrichment factor (EF), contamination factor (CF), pollution load index (PLI), and ecological risk index (ERI) were calculated. Mussel shell-derived chitosan generally did not contribute to soil metal loading when evaluated in terms of those indices. The highest hazard quotient for ingestion (HQing) across male (ML), female (FML), and children (CL) followed the order Cr > Ni > Mn >Pb >Zn >Cu, while maximum HQing among metals was observed in the order CL > FML > ML. For inhalation exposure, highest HQinh for all metals was also found in the order CL > FML > ML, with individual metal contributions following Mn > Ni > Cr >Zn >Pb >Cu. Maximum HQder exhibited the trend ML > FML > CL, and the metal-specific order for HQder was Cr > Pb > Ni >Zn >Mn >Cu. Hazard Index (HI) and Total HI for ingestion, inhalation and dermal exposure were all less than 1. Cancer risk was less than 1 × 10−6. Consequently, there were no pollution and health risks associated with the use of musselshell‑derived chitosan in agriculture as organic amendment.
- MakaleAçık Erişim2026Scopus SJRQ2Data-Driven Prediction of Climate Variables in Agricultural Cities of India With Hybrid GA-TCN-LSTM Model
Utku, Anil
Accurate prediction of climate variables is important in reducing the effects of natural disasters and taking preventive measures for agriculture and food security, energy sector, public health, and water resources management. For agricultural production, it is essential for producers to determine strategies for their agricultural activities and to increase agricultural productivity. Issues such as determining planting and harvest times, determining pesticides to be used against agricultural pests, selecting products to be planted, irrigation, and sustainable agriculture are directly related to climate variables. In this study, a GA-TCN-LSTM hybrid prediction model was created to determine climate variables such as relative humidity, temperature, wind speed, and dew point in Bhopal, Indore, Kanpur, Ludhiana, and Patna, which are among the prominent cities of India in terms of agricultural production. The hyper-parameters of the developed model using the temporal convolutional networks (TCN) and long short-term memory (LSTM) were optimized with the genetic algorithm (GA), and the GA-TCN-LSTM hybrid model was created. GA-TCN-LSTM was extensively compared with the base TCN-LSTM, convolutional neural network (CNN), LSTM, TCN, and CNN-LSTM. The compared models were tested using approximately 15 years of hourly, up-to-date, and real-time data of the cities. Experiments showed that GA-TCN-LSTM outperformed the compared models and had above 0.9 R-Squared (R2) for the majority of cities and climate variables.
AtıfScopus2WoS1OpenAlex2İncele
- Kitap BölümüAçık Erişim2022Fungal Exopolymeric Substances and Their Applications
Topal, Murat; Arslan Topal, E. Işıl
Exopolymeric substances that are also known as extracellular polymeric substances, extracellular polysaccharides, exopolymers, and exopolysaccharides are produced by various microorganisms. They primarily include polysaccharides, lipids, nucleic acids, and proteins. Exopolymeric substances protect microorganisms from various environmental stresses. Exopolymeric substances have unique characteristics. Some of the functional properties of them include adhesion, aggregation, binding activity, energy and nutrient source, water retention, and sorption. One of the exopolymeric substances is fungal exopolymeric substances. The fungal exopolysaccharides are pullulan, scleroglucan, fungal β-glucans, botryosphaeran, and others. The fungal exopolymeric substances are valuable products because of their different application areas such as industries of medical, cosmetic, food, wastewater treatment and agriculture.




