AgBioForum, vol. 25, no. 1 (2023)

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    Agricultural restructure policy in Vietnam and practical application for sustainable development in agriculture
    (University of Missouri, College of Agriculture, Food and Natural Resources, 2023) Huyen, Mai Thi; Xuan Huong, Nguyen Thi; Van Song, Nguyen; Hai Yen, Nguyen Thi; Dang Que, Nguyen
    Recently, effective agricultural policies necessitate sustainable development in the agricultural sector, which necessitates frequent research and the attention of policymakers. Consequently, this study investigates the effect of agricultural restructuring policies on agricultural import, agricultural export, agricultural employment, agricultural irrigation land, and agricultural land on the sustainable development of agriculture in Vietnam. From 1991 to 2021, the researchers extracted secondary data from secondary sources such as World Development Indicators (WDI). The researchers also used the non-linear autoregressive distributed lag (NARDL) method to examine the relationships between the variables. The results revealed that agricultural restructuring policies regarding agricultural import, agricultural exports, agricultural employment, agricultural irrigation land, and agricultural land have a positive correlation with Vietnam's agriculture's sustainable development. The research assists policymakers in formulating regulations for achieving sustainable agricultural development by implementing effective agricultural restructuring policies.
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    Comparative study on Leaf disease identification using Yolo v4 and Yolo v7 algorithm
    (University of Missouri, College of Agriculture, Food and Natural Resources, 2023) Xinming, Wang; Sai Hong, Tang; Anuar b. Mohd Ariffin, Mohd Khairol; Shah b. Ismail, Mohd Idris
    Agriculture is the primary occupation of nearly all nations that feed the world's population. The population growth and rising demand for food require farmers to increase food production to meet the requirements. On the other hand, farming is not regarded as a lucrative occupation, as farmers incur significant losses due to pests and diseases that reduce the quality and quantity of farm produce. Consequently, predicting plant diseases using modern technologies will aid producers in making well-informed decisions early on. This study employs and compares the results of two important computer vision algorithms, YOLOv4 and YOLOv7, for classifying leaf diseases from images of leaves from various plant species. The models are trained with images of individual leaves captured in various environments, imparting resilience and adaptability. Both models annotate and predict leaf diseases with high confidence for each class. Other classification metrics, such as Precision, F1-score, Mean Average Precision, and recall, also demonstrate competitive performance. However, YOLOv7 performs better because its flexible labeling mechanism dynamically learns the class labels. In addition, the work can be expanded to utilize recommendation strategies to predict the extent of injury.
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    Natural disaster, information technology, and agriculture production in Vietnam : evidence from panel data analysis
    (University of Missouri, College of Agriculture, Food and Natural Resources, 2023) Cong Dinh, Khai; Quang Ngo, Thanh
    Agriculture is among the most susceptible industries to natural calamities. Technology is crucial to agricultural output. While agricultural machinery directly impacts agricultural output by increasing yield and quality, information technology may influence coping mechanisms for responding to natural disasters and so increase agricultural productivity. This paper examines (1) the degree to which agriculture production in Vietnam is impacted by natural disasters such as floods, drought, typhoons, and landslides, (2) how coping strategies mitigate the negative effects of natural disasters, and (3) how information technology influences the selection of coping strategies in response to a natural disaster. Our primary premise is that natural catastrophes have a detrimental influence on agricultural production and that coping mechanisms might somewhat mitigate these negative effects. In addition, information technology can facilitate the selection of coping measures for natural disasters.
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    Green HRM practices and its impact on organizations : a correlational study
    (University of Missouri, College of Agriculture, Food and Natural Resources, 2023) Muthuswamy, Vimala Venugopal
    The study of green HRM, also known as green human resource management, is a relatively new HRM subfield that aims to promote environmentally responsible business practices. We assessed the validity of this hypothesis using empirical methods throughout the entirety of our investigation. We analyze a conceptual model that considers the effects of psychological green climate and individual green values by researching green HRM. Responses were gathered from 411 samples of the 440 employees in the food packaging industry. A hypothesis was tested based on green HRM and the belief that green behaviors on the job contribute to a green psychological climate in the workplace. Correlation analysis and research were conducted. The study's findings indicate that workers' environmental attitudes weaken the connection between workplace climate and employees' green behavior. According to the results, this was indeed the case. We hypothesized that employees of an organization with a green HRM would develop a more environmentally conscious mindset. According to the results of these studies, green human resource management impacts green workplace behavior; however, this influence manifests itself differently along social and psychological dimensions. The study's findings indicate that workers' environmental attitudes weaken the connection between workplace climate and employees' green behavior. According to the results, this was indeed the case. We hypothesized that employees of an organization with a green HRM would develop a more environmentally conscious mindset.
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    Green HRM practices and sustainable work environment among higher educational institutions of Saudi Arabia. Role of knowledge sharing and life-long learning
    (University of Missouri, College of Agriculture, Food and Natural Resources, 2023) Muthuswamy, Vimala Venugopal; Esakki, Suresh
    In Saudi Arabia's educational institutions, concern for the environment has grown. To this end, the government and regulatory authorities of Saudi Arabia are exerting constant efforts to achieve sustainable development objectives in the country's academic sectors. KS and LLE have been included as significant mediators in this study. Using a quantitative research design, the present study investigates the developed hypothesis and its degree of significance. After data cleansing and screening, 350 response papers were finalized for data analysis and distributed to the target audience. Various tests have been conducted using SPSS and AMOS to corroborate data normality, sample sufficiency, validity, and model fitness. Using structural equation modeling, the hypothesis was evaluated. A significant correlation was discovered between Green HRM practices and a sustainable work environment. The mediation of LLE between GHRM and SOE has proven significant, whereas the mediation of KS has proven insignificant. The study provides theoretical and practical insights, as it is a valuable contribution to the growing body of literature and helps education institutes in Saudi Arabia integrate green HRM practices to become SOE.