Haor regions are inhabited by one of the most economically disadvantaged communities, which rely on agriculture and endure numerous challenges due to its vulnerability. This article analyzes the data obtained from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs), which were subsequently connected to prior publications to identify the nature of the agricultural land-related problems in the Netrokona Haor basin. Multiple concerns and their nature have been uncovered through the examination. Among those, difficulties in irrigation systems pose the greatest challenge for regional producers. Additional challenges encompass land fragmentation, pollution, erosion, fishing-related concerns, drainage infrastructure, and flood. This study discusses probable solutions with the directive to new research that claims collaborative venture through government and private agencies. Carefully designed research-based policy framework prioritizing strict implementation of existing laws is crucial to effectively mitigate the problem.

Information and communication technology (ICT) tools such as radio, television, mobile phone, the internet, computers are gaining momentum in the development discourse of the agriculture sector in Nepal. In agriculture extension, ICT tools fill the void that traditional agriculture extension cannot address. So, this study aimed at assessing the paddy farmers' knowledge, perception, and satisfaction on ICT tools in Jhapa, Kapilbastu, and Kailai districts following a multistage purposive sampling method. A survey research design was used for the study. Pretested semi-structured interview schedule was employed to randomly selected 390 sample respondents. Descriptive statistics along with the appropriately developed scales were used in the data analysis. The findings revealed that respondents were moderately aware (0.44) of the significant roles of ICT tools. Respondents do have more knowledge on the radio (0.87), TV (0.85), and mobile phones (0.76), whereas the majority possess TV (94%), radio (93%), and mobile phones (88%) among ICT tools. Farmers from Bardiya were more aware of the roles of ICT as compared to other study districts. Likewise, Radio and TV were the primary ICT tools used for agriculture-related information. Respondents had high skills in using radio and TV for information but poor skills in using the computer in all study districts. Most of the respondents positively perceived (0.14) ICT tools and were satisfied (0.23) with them, but their use was limited to radio, TV, and mobile phones. In addition, farmers of Kapilbastu districts were less satisfied with the use of ICT tools as compared to other study districts.

Environmental concerns together with social and ethical issues raise consumers’ interest in sustainable production and consumption practices. With rising trends of fair trade and high popularity of organic and local production in recent years, the demand for geographical indication registration has also increased by agricultural producers as a way of transmitting further information to raise reputation of their products. This research aims to assess the impact of geographical indications on export performance of Turkish agricultural products and foodstuffs. Findings reveal that geographical indications increase export revenues. Results communicate an important message to policy makers to promote the protection of geographical indications.

Greenhouse gas emissions constitute the basis of global warming. One of the sectors contributing to the greenhouse gas emissions is the agriculture sector which accounts for 24% of the global greenhouse gas emissions. In this study, the effect of cattle husbandry, small ruminant husbandry, poultry husbandry, paddy production, which are the main causes of emissions in the agriculture sector, on agricultural CO2 release was investigated. The research covers the years 1991-2017 of Turkey and China. In the study, time-series analyses such as Augmented Dickey-Fuller Breakpoint Unit Root Test, Johansen Cointegration Test, Ordinary Least Square Regression, Full Modified Ordinary Least Square, Canonical Cointegrating Regression and Impulse-Response Analysis were used. According to the results of the analysis, the effects of cattle husbandry, small ruminant husbandry, and paddy production activities on agricultural CO2 emissions were statistically significant in Turkey. We determined that the most effective variable on agricultural CO2 emissions was cattle husbandry both in the long- and short-term. On the other hand, poultry farming had no statistically significant effect on agricultural CO2 emissions. According to the results of the analysis for China, all variables were statistically significant. As a result, it is important to adopt methods that will not cause environmental damage or will have minimal impact in determination processes of effective parameters on agricultural CO2. The government should determine the boundaries of agricultural production processes through legal arrangements and the relevant ministries should implement them seriously. To take these measures and implement them are seen as a necessity for a sustainable world and a sustainable agricultural sector.

In this paper, we investigate the causal relationship in terms of labor productivity among GDP and its constituent three main sectors, e.g. agricultural, industrial and services sectors, in Turkey for the period of 1988-2015. In the study we employed Granger causality/block exogeneity Wald test, Impulse Response and Variance Decomposition analysis. The results showed that both agriculture and industry have positive effects on the labor productivity in services sector, and industry has a positive effect on the labor productivity in agriculture sector, while industrial labor productivity is not affected by the others. The main aim of the paper is examine the question of whether agriculture could serve as an engine of growth. Accordingly, the results indicated that labor productivity in agriculture sector increased during the course of study, and contributed to the labor productivity in services sector, as well. To our knowledge, although this method has been applied in various areas, sectoral causality has not been studied for Turkey before.

Agriculture is an important sector in Turkey’s economy. Access to credit financing is critical for timely acquisition of different inputs, farm productivity, and ultimately farmers’ financial well-being. Historically, Ziraat Bank and Agricultural Credit Cooperatives, supported by Turkish government, have been the principle supplier of loanable funds in the agricultural sector. However, since 2000, many private banks have discovered the potential of this market and entered the competition. This study was designed to investigate the structure of the agricultural credit market in Turkey and identify factors that influence farmers’ preference among alternative lenders. It was found that although the 550 Turkish farmers surveyed had several options among lenders, low interest rates and attainable eligibility criteria emerged as the most important differentiators among banks. Results from the Analytic Hierarchy Process (AHP) demonstrate the rising role of private banks’ credit. However, Ziraat Banks’ subsidized credits still dominant and its composite weight is 30.74% of total amount of agricultural credit market.

Agricultural development is now expected to proceed in a way that maximizes opportunities to improve health and nutrition. Accordingly, the term “nutrition-education-agriculture linkages” describes the set of relationships that shows the mutual dependence of nutrition, education and agriculture. Changes in nutrition or education status are expected to affect agricultural production; conversely changes in the agricultural sector can have significant effects on individual health and nutritional status. Professionals in are trained in nutrition or agriculture, but very few will be trained in both. It is therefore difficult to begin discussions on nutrition-focused agricultural programs and policies. How do we begin to identify these linked outcomes? And how do we begin to think about ways to impact factors that are outside of our sector of expertise? This paper provides a simple framework for thinking critically about nutrition, education and agriculture linkages. The purpose is to help readers identify the linkages of greatest importance to their goals and to begin thinking about how to take steps toward integrating programs more effectively.

Plants need to accumalate heat to complete a particular or whole growth period. This accumalation depends on temperature thresholds above or below which plant growth ceases, and on air temperature. It can be speculated that more heat accumulation is available for plants due to rapid warming within three or four decades. This study presents more recent heat accumulation for plants, quantified using a useful index called growing degree day (GDD), for five locations (Söke, Kuşadası, Aydın, Sultanhisar and Nazilli) in Aydın, Türkiye, during the latest climatic normal period from 1991 to 2020. GDD values were calculated both in monthly basis from March through October, and in daily basis from March 1st to October 31st. Monthly GDD averages, as expected, showed a pattern that increased from March to July or August, then decreased thereafter till October. Range and standart deviation showed approximately an opposite pattern, suggesting higher uncertainity in relatively colder months. The results are expected to provide farmers or agricultural practitioners with the latest averages of GDD to predict plant growth and development.

This study was conducted in Hatay and Mardin provinces to investigate the tendency of farmers to use social media, the difficulties they face during the use of social media and the variables affecting the use of social media by farmers. The research consisted of data obtained from a face-to-face survey of 221 producers using proportional sampling method. Descriptive statistics were used for data analysis, and chi-square analysis was used to examine the relationships between variables. The results showed that the rate of producers using social media was 77.8% in Mardin province and 73.8% in Hatay province. Additionally, farmers mostly use social media for communication with families and access to new news.  Also, the most commonly used social media applications in both provinces were WhatsApp and Facebook. As a result of this research, it was determined that farmers don’t use social media sufficiently for agricultural activities, and it was suggested that farmers’ organizations and related institutions should carry out information activities for farmers to encourage farmers to use social media efficiently.

Technological developments have accelerated the use of information and communication technologies in the agricultural sector as in all other sectors. However, there is still a lack of information in the literature on measuring the level of digital technology usage by farmers. This study will help to eliminate the lack of information on the indicators and their weights that can be used to determine the level of digitalisation of farmers. The aim of the study is to determine the indicators to be used in measuring the level of digital technology use, the sub-dimensions of these indicators, and the weights of these indicators. The constant-sum scale and expert opinions were used to determine the indicators and their weights to be used in measuring the level of digitalisation. The level of agreement of the opinions expressed by different experts about different digitalisation level indicators and their weights was revealed with the help of Kendall’s Coefficient of Concordance. The study results showed that the indicators of internet access facilities, internet speed, smartphone ownership, mobile internet usage, and the ability to use office programs are important variables in measuring the level of digitalisation. The study determined eight main indicators to measure the level of digitalisation and 96 indicators under them, and their weights were put forward. By using the digitalisation indicators and their weights, it will be possible to measure the level of digitalisation in agricultural enterprises reliably.