Value Of Agricultural Production Research Articles

Production factors, regional economic development and agriculture in brazil: A spatial econometrics approach

Agriculture has a great effect on the development process of a region and production land, labor, and technology are determinant factors in its dynamism. This work carries out a spatial analysis for each production factor of Brazilian municipalities in 2006 and 2017 and intends to verify if there are patterns of association and agglomerations. This work is applied research of quantitative and exploratory nature. The Exploratory Analysis of Spatial Data (ESDA) was used to perform spatial analysis for each production factor in Brazilian municipalities in 2006 and 2017 and to check the patterns of association and agglomerations. The main agricultural activities and practice are related to exports as proposed by North. The formation of clusters verified both in the use of the factors of land, labor and technology, and in the value of agricultural production has a polarized role in the Brazilian space, as described by Perroux. This polarization and the formation of clusters expanded at certain points over time, indicating the formation of new links with neighboring municipalities (a la Hirschman). The spatial association pattern was significant in all analyzed variables, with emphasis on the non-physical technology factor, presenting the highest spatial autocorrelation coefficient in both periods analyzed.

The Impact of Economic Shocks on the Value of Agricultural Domestic Product in Iraq for the Period (2004-2022)

The Impact of Economic Shocks on the Value of Agricultural Domestic Product in Iraq for the Period (2004-2022)

The Role of Climate Change, Employment, Government Expenditure, and Imports on the Value of Agricultural Production in Romania

Abstract Agricultural production is important for ensuring food security, supporting many activities of society and building strong trade economy of a country, but can be slightly influenced by numerous factors. Even if exists a lot of studies that analyze the influencing factors of agricultural production in terms of value, investments, climate change, credits, costs of energy and more, in the literature can be observed a research gap regarding the relation between emissions or mean weekly hours actually worked per employed person and value of agricultural production. The identified gap in the specialty literature was covered in this paper. The present paper aims to analyze a series of factors that influence the value of agricultural production, like: climate change, employment, government expenditure and imports, after discussing the theoretical framework about the subject. The methodological approach is based on using several linear regressions, tested with the EViews software. One of the main findings indicates the existence of relationships between both the change of imports and the change of emissions with the value of agricultural production in Romania during 1995-2021. Also, another result indicates a negative influence of temperature change on the value of agricultural production, showing once again that climate change does negatively impact agricultural output and, thus, the sustainable development of Romania. This study could be used further by policy makers to understand on which drivers should act on in developing sustainable policies for Romanian agriculture.

The Role of Clusters in Managing Technological Challenges and Achieving Resilient Agri-Food Systems at the Global Level

Abstract There is a strong need to transform agriculture from its heavy dependence on staple crops to an increased production that can, on the one hand, address the needs and quality requirements of domestic and export markets, but also grow into a resilient agri-food system. The paper acknowledges the emergence of agro-clusters as an essential element in promoting sustainable agriculture practices and in supporting export performance. The main objective of our research is to investigate the role of clusters in promoting knowledge transfer, improve competitiveness and boost technological investments through the example of selected relevant agri-clusters. To extend the existing literature, our research aims to evaluate the link between export performance - measured considering the volume of trade – and the existence of agri-clusters. We have assumed that there is a strong direct relationship between the existence and stage of development of agricultural clusters, the performance of agricultural exports – expressed in terms of total value of agricultural exports - and resilient agri-food systems. To test our hypothesis, we use data from the United Nations Comtrade Database on changes in export share and value of agricultural products over the last decade, complementary with qualitative analysis based on more than 100 sources (government documents, webpages, presentations, projects) of the top five global agricultural exporters to evaluate the existence of agricultural clusters, the government support and implication, and the integration of other actors such as universities, research centers, financial institutions. The results indicate a positive correlation between the development stage of analysed agricultural clusters, the resilience of agri-food systems and the performance of agricultural exports of the country of origin.

PEMBERDAYAAN MASYARAKAT MELALUI OPTIMALISASI BRANDING PRODUK ORGANIK DI DESA JATILUWIH KABUPATEN TABANAN-BALI

Agriculture is the mainstay sector for Tabanan Regency, especially Jatiluwih Village, Penebel District. Most of the people, 87%, have their main livelihood in the agricultural sector, namely: rice farming, plantations and animal husbandry. There is organic farming land and horticultural farming land with a land area of 114.59 hectares. This service aims to increase the knowledge and skills of the target community regarding product branding in an effort to increase the added value of agricultural products. The methods used in this service activity are observation, interviews, discussions and lectures, where the implementing team conducts dialogues discussing agricultural product branding. The results of the service show that strengthening agricultural products through product branding is able to develop, promote and build public brand awareness of agricultural products. In this way, agricultural products are able to compete in product exhibitions and can be used as souvenirs typical of the Jatiluwih Tourism Village, which has an impact on improving the community's economy significantly

Trace ethylene adsorbents Ag/F-Z5(X) for improved preservation of fruits and vegetables: Enhanced adsorption and water resistance

During the storage/transportation of fruits and vegetables, ethylene-induced over-maturation and spoilage is a serious problem. Currently developed ethylene adsorbents exhibit great potentials due to their low cost and high efficiency, but always lack of water resistance. Herein, we developed Ag/F-Z5(X) adsorbents via the modification of ZSM-5 with different amounts of NH4F followed by silver loading, which exhibits enhanced ethylene adsorption and water resistance. Among the samples, Ag/F-Z5(25) featured with the largest capacity (6.44 mg·g−1) and the best water resistance, achieving near-complete removal of trace ethylene (100 ppm) at room temperature. Based on the characterizations, NH4F modification induced a hierarchical structure within the ZSM-5 framework, concurrently enhancing surface acidity, increasing the proportion of Ag+, and improving the dispersion of metals in the adsorbents. These enhancements collectively contribute to enhanced adsorption and water resistance. Further, banana storage experiments confirmed the actual preservation ability of Ag/F-Z5(25) thanks to the better adsorption and water resistance than unmodified Ag/Z5. These findings offer meaningful insights for developing high-efficient and water-resistant adsorbents to remove trace ethylene, consequently mitigating food aste and enlarging the commercial value of agricultural products.

Fusion of Mask RCNN and multi-augmentation for rice recognition

In the real world, the appearance of similar rice varieties depends on various factors such as resolution, angle, lighting conditions, and perspective. Additionally, complex environmental factors and characteristics of each rice type, such as enhanced light intensity, cross-polarization, and shading, rice background color, and image similarity, play a role. This indicates that the data augmentation process may enhance the accuracy of crop identification, particularly in the context of self-supervised machine learning. The aim of this research is to develop a precise rice segmentation method based on the improved Mask R-CNN (Region-based Convolutional Neural Network) with multitask data augmentation. The Mask R-CNN model is enhanced by incorporating multitask input to improve feature extraction for rice. Experimental results demonstrate that the improved Mask R-CNN model can accurately segment various rice types under different conditions, such as different background colors and varying sizes of rice grains. The achieved precision, recall, F1 score, and segmentation mean Average Precision (mAP) are 95.5%, 96.3%, 95.9%, and 0.924, respectively. The average runtime on the test set is 0.35 seconds per image. Our method outperforms two comparative approaches, showcasing its ability to accurately segment rice in the market deployment phase with near real-time performance. This study establishes the foundation for the accurate detection of valuable agricultural products.

Review of Research on the Development of Cold-Chain Logistics of Agricultural Products in China

The growth of cold-chain logistics of agricultural products in China has become a central issue from all walks of life. With the constant growth of the economy and the growth in the standard of living, it has become increasingly prominent as a key link to ensure food safety and enhance the added value of agricultural products. Although the acceleration of urbanization and the trend of consumption upgrading have facilitated the rapid growth of the market needs for cold-chain logistics of agricultural goods, the government has accordingly entered a series of support policies to stimulate the application of modern information technology in cold-chain logistics of farm products, compared to developed nations, a significant disparity exists in terms of infrastructure, technical level, and management system in China. Therefore, it has become urgent to enhance the cold-chain logistics of farm produce in China to strengthen infrastructure construction, enhance the degree of data technology utilization, and facilitate the application of new technologies and models. This paper conducts and analyzes the rising status of cold-chain logistics of agricultural goods nationally and internationally, conducts an in-depth analysis of existing problems by existing scholars, finds out the deep-seated reasons behind it, and points out the direction for the continuous improvement and innovative development of cold-chain logistics of agricultural products in China.

Peran Penyuluh pada Pengembangan Kelompok Wanita Tani (KWT) di Kecamatan Selupu Rejang

Research on the role of extension workers in the development of women's farmer groups (KWT) in Selupu Rejang District, Rejang Lebong Regency aims to analyze the role of extension workers in the development of Women Farmers Groups (KWT) in Selupu Rejang District. The research was conducted in January 2022 in Selupu Rejang District, Rejang Lebong Regency, Bengkulu Province. Determination of the location is done intentionally (purposive sampling) with the consideration that this location is the center of agriculture in the Rejang Lebong highlands which has many farmer groups, one of which is the Women Farmers Group (KWT). This study has two types of primary data that are processed and analyzed, namely quantitative data and qualitative data. Qualitative data from the questionnaires in this study were collected and the answers were studied which then coded the data to obtain quantitative data. The collected data was statistically processed using SPSS for Windows and Microsoft Excel. Checking the completeness and consistency of the answers on the questionnaire sheets, diaries, and audio recordings was carried out at the stage of studying the answers to the questionnaire. The Microsoft Excel program was used at the data coding stage where all quantitative data obtained from the complete and per variable questionnaire answers were entered into the Microsoft Excel program. The stages in analyzing the data are Validity Test, Reliability Test, Likert Scale Analysis and Hypothesis Testing. The role of extension workers is very important in the development of the Women Farmers Group (KWT). Judging from the three categories, namely the role of the instructor as a mentor with a score of 77% in the high category, it can be said to be growing because KWT has been able to innovate by creating new things in farming activities and can also think that farming activities are not only limited to planting but can also perform processing in order to increase the selling value of agricultural products.

PROPOSING SOLUTIONS TO DEVELOP SUSTAINABLE AGRICULTURE TO ADAPT TO CLIMATE CHANGE USING THE T-FANP MODEL

The aim of this study is to propose priority strategies for agricultural development amidst drought in Ninh Thuan province, Vietnam. In the context of drought, the agricultural sector faces significant challenges due to the impact of both natural and socio-economic factors. In order to conduct this research and propose effective strategies, the study utilized the SWOT analysis model via the TOWS matrix, delineating 15 strategies to pinpoint the most fitting approach for the agricultural sector. The study quantified and ranked factors within the SWOT analysis and prioritized strategies using the Fuzzy Analytic Network Process (FANP). The outcomes identified advantageous strategies for agricultural production, emphasizing the evaluation and identification of drought while focusing on market development for economically valuable agricultural products based on primary crops. The step-by-step application of these prioritized strategies aims to contribute to the sustainable development of agricultural production in Ninh Thuan province and facilitate the utilization of a multi-criteria decision-making model in resource and environmental management.

Classification and identification of agricultural products based on improved MobileNetV2.

With the advancement of technology, the demand for increased production efficiency has gradually risen, leading to the emergence of new trends in agricultural automation and intelligence. Precision classification models play a crucial role in helping farmers accurately identify, classify, and process various agricultural products, thereby enhancing production efficiency and maximizing the economic value of agricultural products. The current MobileNetV2 network model is capable of performing the aforementioned tasks. However, it tends to exhibit recognition biases when identifying different subcategories within agricultural product varieties. To address this challenge, this paper introduces an improved MobileNetV2 convolutional neural network model. Firstly, inspired by the Inception module in GoogLeNet, we combine the improved Inception module with the original residual module, innovatively proposing a new Res-Inception module. Additionally, to further enhance the model's accuracy in detection tasks, we introduce an efficient multi-scale cross-space learning module (EMA) and embed it into the backbone structure of the network. Experimental results on the Fruit-360 dataset demonstrate that the improved MobileNetV2 outperforms the original MobileNetV2 in agricultural product classification tasks, with an accuracy increase of 1.86%.

Research on the Problems and Countermeasures of the Integrated Development of Fuping Persimmon Industry

The integration of the three industries in persimmon industry, namely the organic combination of persimmon cultivation, deep processing of agricultural products, and rural tourism, is an important measure to promote the upgrading and development of agricultural industry. This integration model has great potential and advantages in improving the added value of agricultural products, increasing farmers' income, promoting local economic development, and rural revitalization. However, achieving organic integration of industries is not an easy task and requires overcoming various problems and challenges. This study aims at explore the issues and countermeasures of the three-industry integration in Fuping persimmon industry. By analyzing the current situation of the three-industry integration in the persimmon industry chain, studying the improvement and innovation of deep processing technology and facilities for agricultural products, and combining with the changes in market demand, this study proposes solutions to the existing problems.

Analysis of the development of China's fresh agricultural products e-commerce platform based on Marx's production and circulation theory

The key problem of agricultural production is to realize the value of agricultural products. At present, the actual circulation of agricultural products in China is restricted by various problems. In response to the question of how to better smooth the circulation system of agricultural products in the context of the normalized management of the epidemic and the digital economy, Chinese academics are currently more inclined to use economic principles to study and answer it. This paper uses an indirect research method, combined with the theory of production and circulation in Marxist political economy, to try to analyze the development direction of China's agricultural products circulation system under digital inclusion. The critical factor for advancing the transformation and upgrading of China's agricultural goods circulation system is in the reduction of circulation time and costs, hence enhancing the efficiency of agricultural product circulation. Hence, it is imperative to proactively cultivate novel rural e-commerce models alongside enhancing the conventional agricultural product circulation system. This entails encouraging diverse stakeholders to actively engage in the establishment of a contemporary agricultural product circulation system under government guidance, while also enhancing the organization and digitization of agricultural product distribution.

Spatial-temporal characterization of cropland abandonment and its driving mechanisms in the Karst Plateau in Eastern Yunnan, China, 2001-2020.

The karst plateau is dominated by mountainous and hilly landforms, with low mechanization level of cropland, high difficulty of cultivation, and obvious phenomenon of cropland abandonment, which threatens regional food security. This study aims to analyze the spatial-temporal variation and its driving mechanisms of abandoned cropland in the Karst Plateau in Eastern Yunnan, China (KPEYC) between 2001 and 2020. To achieve this goal, 18 key factors from population, economic environment, cropland attributes, and farming conditions are selected. Moreover, correlation analysis, geodetector, and regression analysis methods are applied from three perspectives: temporal change, spatial distribution and spatial-temporal change. The results show that: (i) The cropland abandonment rate (CAR) in the KPEYC shows a fluctuating trend, with an average value of 9.78%, and the spatial distribution shows a pattern of "high in the center and low in the south and north". (ii) From the perspective of temporal change, gross value of agricultural production, and gross value of industrial production have the largest correlation coefficients with CAR. (iii) The explanatory power of gross tertiary industrial production, gross value of industrial production, followed by soil thickness. (iv) Gross value of agricultural production, and gross tertiary industrial production are the core driving forces for the spatial-temporal change of CAR. The higher the gross value of agricultural production and gross tertiary industrial production, the lower the CAR. elevation, soil thickness, and traffic mileage are the main driving factors for the spatial-temporal change of CAR. The study indicates that economic factors are decisive for cropland abandonment in the KPEYC. Based on the results, this study can provide decision-making support for local prevention and control of cropland abandonment, and the local community needs to promote land transfer and concentration and local urbanization according to local conditions, improve agricultural policies, improve farming conditions, etc. in order to increase farmers' enthusiasm for production, promote the rational use of cropland, and solidly push forward ecological restoration and management, optimize ecological spatial patterns, manage serious areas of rocky desertification, and appropriately alleviate the contradiction between people and land.

МОДЕЛІ УПРАВЛІННЯ ДОДАНОЮ ЦІННІСТЮ У НІШЕВОМУ АГРОБІЗНЕСІ

The article examines the methodological approaches and models of added value management as a consumer’s value based on the ecosystem and marketing approach in the segment of micro and small agricultural business, which operates in the conditions of full-scale military invasion in Ukraine. The sociological study conducted in 2022-2023 among 100 managers and founders of domestic micro and small agricultural enterprises shows and explains value-added management models in the segment of niche agro-production business. Creating value for consumer’s approach is a methodological basis for sustainable competitive strategies development, which allows micro and small businesses to adapt to the external environment rapid changes and to be consistent in the long term period perspective both in conditions of the full-scale military invasions and in the post-war period. The agri-food market structural changes caused by the pandemic and full-scale military actions led to the domestic micro and small agricultural business strategy transformation. In conditions of full uncertainty and the threats of physical destruction, micro and small agro-enterprises that retained their production capacity showed adaptability to rapid market changes in comparison with large-scale agribusiness. Leaders of micro and small business actively studied and implemented innovative approaches to the management of material, financial and information flows, which directly affected their ability to produce added value. Running an agri-food business in Ukraine in modern realities requires the use of sustainable business practices that will ensure sustainability both in the short-term and in the long-term. The ecosystem approach to the added value management, as a value for the consumer, involves a comprehensive approach to the of available resources assessment, external threats and challenges, and development prospects. A marketing approach to the added value creation and treatment it as a value for the consumer allows to develop a differentiated strategy. Such approach allows to obtain more sustainable competitive advantages in comparison with the economic approach of added value creation and management. The strategy of increasing value of primary agricultural products by increasing the market value and product attractiveness through marketing tools allows to differentiate the product line and receive an additional premium.

An innovative approach to detecting the freshness of fruits and vegetables through the integration of convolutional neural networks and bidirectional long short-term memory network

Fruit and vegetable freshness testing can improve the efficiency of agricultural product management, reduce resource waste and economic losses, and plays a vital role in increasing the added value of fruit and vegetable agricultural products. At present, the detection of fruit and vegetable freshness mainly relies on manual feature extraction combined with machine learning. However, manual extraction of features has the problem of poor adaptability, resulting in low efficiency in fruit and vegetable freshness detection. Although exist some studies that have introduced deep learning methods to automatically learn deep features that characterize the freshness of fruits and vegetables to cope with the diversity and variability in complex scenes. However, the performance of these studies on fruit and vegetable freshness detection needs to be further improved. Based on this, this paper proposes a novel method that fusion of different deep learning models to extract the features of fruit and vegetable images and the correlation between various areas in the image, so as to detect the freshness of fruits and vegetables more objectively and accurately. First, the image size in the dataset is resized to meet the input requirements of the deep learning model. Then, deep features characterizing the freshness of fruits and vegetables are extracted by the fused deep learning model. Finally, the parameters of the fusion model were optimized based on the detection performance of the fused deep learning model, and the performance of fruit and vegetable freshness detection was evaluated. Experimental results show that the CNN_BiLSTM deep learning model, which fusion convolutional neural network (CNN) and bidirectional long-short term memory neural network (BiLSTM), is combined with parameter optimization processing to achieve an accuracy of 97.76% in detecting the freshness of fruits and vegetables. The research results show that this method is promising to improve the performance of fruit and vegetable freshness detection.

Оценка размерности личных подсобных хозяйств на основе группировокпо земельной площади

The article analyzes the approaches of state statistical bodies to the construction of analytical groupings of private subsidiary farms by the total land area and the total sown area. Analytical groupings published according to the national agricultural censuses, as a rule, represent distribution series, where the characteristics of the selected groups are limited only by the number of farms, the volume of the phenomenon and its ratio to the total. In addition, the program for publishing the results of the agricultural microcensus does not provide for a regional section. In order to improve the quality of the summary, analysis and presentation of the data on private subsidiary farms, it is proposed to revise the intervals for a number of grouping indicators and to significantly expand the set of features characterizing analytical groups. On the basis of depersonalized primary data of the agricultural microcensus, the article shows the possibilities of analyzing the size, specialization and intensification of agricultural production of private subsidiary farms while conducting a complete summary of the signs of the observation program. The trends of decrease in the total number of private subsidiary farms and their land and sown area revealed according to the census data indicate a reduction in the size of agricultural production of the category of households of the population, which makes it possible to raise the question of the expediency of their continuous survey and the introduction of censorship, as it is done in some foreign countries. On the basis of the data of the sample survey of private farms and the microcensus of 2021, an estimation of the value of the gross agricultural production by groups of farms according to the size of the land area was given, and it was proposed to introduce a requirement of 1000 m2 of land area for the inclusion of private subsidiary farms in the list of respondents of agricultural censuses.

Quantitative Measurement of Agricultural Support in Ghana using Pse (Producer Support Estimate) Indicator

Averagely, agriculture accounted for 19.3% of the total GDP accrued to Ghana’s economy, and provided employment for 32.49% of the total population within the period 2015 – 2019. Agricultural land in general occupies the greater percentage of entire land area in Ghana (65.14%). Almost half of the total population (44.61%) in Ghana lives in the rural areas and majority of which are engaged in agriculture. The aim of this paper is to measure the level of government support to farmers’ income in Ghana, using the Producer Support Estimate (PSE) approach. Specifically, Single Commodity Transfers (SCT) and expression of % SCT for individual commodities, which account for about 70% of the total value of agricultural production in Ghana was used. Inasmuch as important data on market price and budgetary support to Ghana’s agriculture in the period 2015 – 2019 were still not inserted in the OECD database, data on market price were sourced from World Bank and FAOSTAT for the analysis. On the other hand, data on budgetary support to Ghana’s agriculture for 2015 – 2019 were not in existence. Inadequate literature on policy support to Ghana’s agriculture and lack of data on budgetary support to Ghana’s agriculture was a limitation and therefore limits the scope of this research. The study revealed that producers of agricultural commodities such as cocoa, maize and coffee received positive market price support, only with the exception of rice which received negative market price support in the period 2015 – 2019. The %SCT for cocoa, maize, rice and coffee were 57.83%, 37.73, -72.28 and 29.79 respectively. It is recommended that the government of Ghana would intensify production to secure enough food for its population and provide jobs initiative as a policy support to provide sustainable incentives for producers of agricultural commodities in the country. This refers especially to rice, since it was the most deprived with significant market price support during the period of the study.

A Study on the Influence Factors of Agricultural Carbon Emissions in Hunan Province Based on Random Forest Model

Agricultural carbon reduction contributes to the realization of “carbon peak and carbon neutrality” strategy. This article analyzes the previous years’ data of agricultural carbon emissions in Hunan Province, and obtains the variation of carbon emissions; Using the random forest method to analyze the influence factors of agricultural carbon emissions in Hunan Province, it is proven that unit crop production value, unit energy carbon emissions in agriculture, and unit agricultural GDP energy consumption are the three most critical factors affecting agricultural carbon emissions in Hunan Province. LDMI method is used for validation. Sensitivity analysis was conducted on factors such as agricultural energy consumption, total production value of AFAF(Agriculture, forestry, animal husbandry, and fishing), total agricultural production value, crop yield, crop planting area, and non-urban population. The first five changes have a positive impact on agricultural carbon emissions, while non-urban population has a downward and then upward trend.

PERCEPTION OF LOCAL COMMUNITY TOWARDS TOURISM DEVELOPMENT: A STUDY ON RURAL TOURISM SITES OF JORDAN

Tourism is one of the most effective solutions for overcoming poverty in rural areas. Jordan has many renowned tourist attractions situated in urban and rural areas. Tourism plays an integral role to boost the national economy of Jordan. In an increasingly globalized society, rural tourism is expected to rise, thus it is important to examine how the locals feel about tourism development. The study aims to examine how the locals in the rural areas of Jordan's Ajloun and Jerash governorates perceive the effects of tourism development. For the analyses, 395 households of data were used. Residents' attitudes toward the development of tourism have been evaluated using multiple regression along with descriptive statistics, both positively and negatively. IBM AMOS 22.0 has been used to complete the statistical analysis. The results indicated that tourism in the selected villages is in the pre-development stage and respondents strongly supported the development of the tourism industry because it creates jobs, attracts investment, and increases the value of agricultural products by creating a market. However, respondents expressed little concern about the adverse effects, such as the loss of traditional value, environmental degradation, pollution, and traffic congestion.