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Techno Agriculturae Studium of Research
Published by Yayasan Adra Karima Hubbi
ISSN : 30479835     EISSN : 30482321     DOI : 10.70177/agriculturae
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Techno Agriculturae Studium of Research is an international forum for the publication of peer-reviewed integrative review articles, special thematic issues, reflections or comments on previous research or new research directions, interviews, replications, and intervention articles - all pertaining to the Research in agriculture, includes a wide range of studies and analyzes related to production, resource management, agricultural technology, environmental sustainability, agricultural policy, and more. All publications provide breadth of coverage appropriate to a wide readership in agriculture research depth to inform specialists in that area. We feel that the rapidly growing Techno Agriculturae Studium of Research community is looking for a journal with this profile that we can achieve together. Submitted papers must be written in English for initial review stage by editors and further review process by minimum two international reviewers.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 3 (2024)" : 5 Documents clear
The Precision Agriculture Revolution in the United States: The Utilization of Drone Technology and Big Data Judijanto, Loso; Zaki, Amin; Razak, Faisal
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1589

Abstract

Precision agriculture is an innovative approach that is increasingly being applied in the United States to increase agricultural productivity through the use of cutting-edge technology. The background of this research focuses on the importance of adopting modern technologies, such as drones and big data, in addressing global challenges such as climate change, resource limitations, and increasing food needs. The purpose of this study is to explore how the integration of drone technology and big data can revolutionize the agricultural sector in the United States, specifically in improving efficiency, reducing waste, and increasing crop yields. This study uses a qualitative method with a case study approach to several agricultural companies that have adopted drone technology and big data. Data collection was carried out through in-depth interviews with farmers, document analysis, and field observations regarding the implementation of the technology. The data collected was then analyzed using thematic analysis methods to identify patterns and impacts that arise from the adoption of this technology. The results show that the use of drones allows for real-time monitoring of land, early detection of plant diseases, and more efficient resource management, while big data helps in more accurate data-driven decision-making. These two technologies significantly improve the productivity and sustainability of agriculture in the study area. The conclusion of this study confirms that the integration of drone technology and big data can make a great contribution in facing the challenges of modern agriculture. Precision agriculture, with the support of technology, has the potential to be a long-term solution to improve the efficiency and yield of agricultural production.
Innovation in Vertical Agriculture in Dutch Cities: Sustainable Solutions with Modern Hydroponics Judijanto, Loso; Chai, Nong; Tubangsa, Ian
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1590

Abstract

Vertical agriculture has emerged as an innovative solution to the challenge of food security in densely populated urban areas such as those in the Netherlands. The background of this research is driven by the need to find more efficient and sustainable agricultural methods amid the limitations of conventional agricultural land. The purpose of this study is to examine the potential application of modern hydroponic technology in vertical farming systems in urban Netherlands, as well as to analyze its impact on environmental and economic sustainability. This study uses a qualitative method with a case study approach, where data is collected through interviews with agricultural experts, literature analysis, and direct observation on vertical farming facilities using hydroponic technology. The results show that vertical farming systems with hydroponic technology are able to reduce water use by up to 90% compared to traditional agriculture, as well as increase crop production up to 3 times on the same land area. In conclusion, hydroponic vertical agriculture innovations not only provide solutions to urban land limitations, but also support more environmentally friendly and sustainable agricultural practices. However, challenges in terms of initial costs and technology are still the main obstacles that need to be overcome for wider implementation.
Applications of Artificial Intelligence in Weather Prediction and Agricultural Risk Management in India Fawait, Aldi Bastiatul; Aprilani, Puteri; Sugiarto, Sugiarto; Sok, Vann
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1591

Abstract

Agriculture in India is particularly vulnerable to climate change and extreme weather conditions, which can negatively impact productivity and food security. This research was conducted against the background of the importance of developing technology to help farmers in dealing with weather uncertainty and managing agricultural risks. The purpose of this study is to explore the application of artificial intelligence (AI) in accurately predicting weather as well as managing the risks associated with extreme weather in India's agricultural sector. This study uses a descriptive method with a quantitative and qualitative approach, where data is collected through interviews with agricultural experts, analysis of historical weather data, and AI modeling. The results show that the AI application is able to predict weather patterns with an accuracy rate of up to 90%, which helps farmers make more informed decisions regarding planting timing, irrigation, and pesticide use. In addition, AI-based risk management systems allow for early detection of extreme weather, thereby reducing crop losses. The conclusion of the study is that artificial intelligence applications have great potential to improve food security and agricultural productivity in India by helping farmers anticipate weather changes and manage risks more efficiently. However, the adoption of this technology requires adequate training and infrastructure to ensure its optimal use in the field.
Post-harvest Storage and Processing Technologies in Russia: Reducing Yield Loss Lima, Lucas; Costa, Tiago; Silva, Pedro
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1592

Abstract

Post-harvest losses are a significant challenge in the agricultural sector in Russia, affecting food security and farmers' incomes. Post-harvest storage and processing technologies, such as cold storage and modified atmosphere treatment, have been introduced as solutions to reduce yield loss. However, the effectiveness and adoption of this technology has not been evenly distributed across Russia's agricultural regions. This study aims to analyze the impact of post-harvest storage and processing technologies on the reduction of yield losses in several major agricultural regions in Russia. In addition, this study explores the challenges in the adoption of such technologies by small and medium farmers. This study uses a qualitative descriptive method with a case study approach in several major agricultural regions in Russia. Data were collected through in-depth interviews, questionnaires, and reviews of relevant literature. The analysis was carried out using thematic and descriptive statistical methods to evaluate the effectiveness of the technology in reducing post-harvest losses. The results of the study show that the application of post-harvest storage and processing technology is able to reduce yield losses by up to 50%. However, there is a gap in technology adoption in rural areas that lack supporting infrastructure. Post-harvest storage and processing technologies in Russia have great potential to reduce yield losses and improve food security. Policy and infrastructure support is needed to expand the adoption of these technologies across Russia's agricultural regions.
The Role of Biotechnology in Plant Breeding for Sustainable Agriculture in Brazil Chandriyanti, Ika; Sopiana, Yunita; Fahrati, Eny
Techno Agriculturae Studium of Research Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i3.1593

Abstract

Research Background: Sustainable agriculture is increasingly becoming a global priority, including in Brazil, which is one of the major producers of agricultural commodities. Biotechnology in plant breeding has provided an important solution to increase plant productivity and resistance to pests, diseases, and extreme environmental conditions. Research Objectives: This study aims to explore the role of biotechnology in crop breeding in Brazil and its impact on sustainable agriculture. Research Method: This study uses a qualitative descriptive approach with case study analysis on major crops such as soybeans, corn, cotton, and sugarcane. Data were collected through interviews with farmers and biotechnology experts as well as literature analysis. Research Results: The results show that the application of biotechnology increases plant productivity by up to 30%, as well as strengthens plant resistance to pests and climate change. However, the adoption of this technology is still limited to large commodities, with uneven access among smallholders. Research Conclusion: Biotechnology plays an important role in supporting sustainable agriculture in Brazil, but efforts are needed to expand access to these technologies so that more farmers, including small-scale ones, can take advantage of them. Supportive policies and adequate infrastructure are needed to accelerate the adoption of biotechnology across Brazil's agriculture

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