In an increasingly globalized world, proficiency in English has emerged as a pivotal factor in fostering the development of various sectors, including agriculture. This paper examines the crucial role of English language skills in the advancement of the agricultural sector. It delves into the multifaceted impacts of English proficiency on agricultural practices, knowledge dissemination, technology adoption, market access, and international collaboration. Drawing on empirical evidence and theoretical frameworks, the article highlights the significance of linguistic competence in navigating the complexities of modern agricultural landscapes. Additionally, it explores strategies for enhancing English proficiency among stakeholders within the agricultural domain, thereby facilitating sustainable growth and innovation. Through a comprehensive analysis, this paper underscores the importance of integrating language education initiatives into agricultural development agendas to harness the full potential of the sector in a global context.
| Mualliflar | Yuldashova, Nargiza |
|---|---|
| Jurnal | Sustainable Agriculture |
| Nashr sanasi | 2024-06-30 |
| Jild | 22 |
| Son | 2 |
| Betlar | 98-100 |
| Til | Ingliz |
English proficiency, agricultural development, knowledge dissemination, technology adoption, market access, international collaboration, knowledge exchange, communication, international trade, policy formulation.
Agricultural development is intricately linked with the acquisition and understanding of agricultural terminology. This scientific article explores the importance of teaching agricultural terms in fostering agricultural…
The article says about the need to work with today's youth studying in secondary schools and universities in our country, using not only traditional, but also modern, innovative technologies. One of these technologies…
This article is about the meaning of accounting terms, their origin and development in linguistic research. The author tried to reveal the details of accounting terminology as accurately as possible and show the…
This study examines the effectiveness of using graded readers to improve reading fluency among intermediate language learners. The research utilized a controlled experimental design to investigate quantitative outcomes…
CNN We will consider several image classification algorithms and models for the optimal deep learning model using Convolutional Neural Networks (CNN). Using deep learning of blood cell images, images of healthy blood…
The Zarafshan River Basin, one of the crucial water resources in Central Asia, faces significant water quality challenges due to land use changes as urbanization and agricultural expansion. This study examines the…
This research paper presents a deep learning-based model using YOLOv8 to detect abnormalities in panoramic dental radiographs. In the course of this experiment, we used the currently widely used Raspberry Pi device and…
This research prioritizes the development of a system for monitoring water levels, specifically designed for agricultural water storage tanks that enable crop irrigation. Should the agricultural sector face a water…
The sensor analyzed in this article is based on the law of electromagnetic. Also, compared to existing methods, it measures the amount of flow in the pump pipes more accurately and significantly improves the time of…
When developing and implementing control systems for technically complex objects, special requirements are imposed on the technical means of the system. Including coordination of data transmission channels, selection of…