cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Adam Mudinillah
Contact Email
adammudinillah@staialhikmahpariangan.ac.id
Phone
+6285379388533
Journal Mail Official
adammudinillah@staialhikmahpariangan.ac.id
Editorial Address
Jorong Kubang Kaciak Dusun Kubang Kaciak, Kelurahan Balai Tangah, Kecamatan Lintau Buo Utara, Kabupaten Tanah Datar, Provinsi Sumatera Barat, Kodepos 27293.
Location
Kab. tanah datar,
Sumatera barat
INDONESIA
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. 1 (2024)" : 5 Documents clear
The Precision Agriculture Revolution in Asia: Optimizing Crop Yields with IoT Technology Guilin, Xie; Jiao, Deng; Wang, Yuanyuan
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Agriculture in Asia faces challenges in meeting increasing food needs due to population growth. Conventional farming methods are often less efficient and unsustainable. Precision agricultural technology, especially the Internet of Things (IoT), offers solutions to significantly increase farm productivity and efficiency. This research aims to explore the potential application of IoT technology in precision agriculture in Asia and analyze its impact on optimizing crop yields. This research uses a case study approach by analyzing the implementation of IoT technology in precision agriculture in several Asian countries, such as China, India, and Indonesia. Data was collected through interviews with farmers, agricultural experts, related stakeholders, and field observations. Research results show that the application of IoT technology in precision agriculture in Asia provides significant benefits, including (1) monitoring soil conditions, weather, and plant growth in real-time, (2) optimizing the use of fertilizer and irrigation water, (3) early detection of pests and plant diseases, and (4) increasing the efficiency of agricultural management. In addition, this research found that adopting IoT technology still needs to be improved by factors such as limited infrastructure, initial investment costs, and human resource readiness. It can be concluded that IoT technology has great potential in supporting the precision agriculture revolution in Asia. Its implementation can optimize crop yields through more efficient and sustainable agricultural management. However, systematic efforts are needed to overcome challenges in implementing IoT technology in the farming sector, such as infrastructure investment, human resource training, and supporting policies from the government  
Applications of Artificial Intelligence in Weather Prediction and Agricultural Risk Management in India Benjamin, Zargari; Najmeh, Topacio; Shariati, Mashhadi
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Accurate weather prediction and effective agricultural risk management are essential to improve the productivity and sustainability of the farm sector in India. However, extreme climate fluctuations and weather uncertainty pose significant challenges for farmers and policymakers. Artificial Intelligence (AI) offers a potential solution to this problem with its ability to analyze complex data and identify patterns. This study aims to explore the application of Artificial Intelligence in weather prediction and agricultural risk management in India. Specifically, the study seeks to develop AI models that accurately predict weather and recommend appropriate agrarian risk management strategies. In this study, historical weather data, climate data, and agricultural data were collected from various sources. Various AI techniques, such as machine learning, deep learning, and natural language processing, are used to analyze data and develop weather prediction and agricultural risk management models. The model is then validated and optimized using test data. The results showed that the developed AI model can predict the weather more accurately than conventional methods. The model can also provide specific recommendations for agricultural risk management, such as proper crop selection, optimal planting timing, and other risk mitigation strategies. This research shows the vast potential of Artificial Intelligence in improving weather prediction and agricultural risk management in India. By adopting AI technology, farmers and policymakers can make better decisions and improve the productivity and sustainability of the agricultural sector.
Post-Harvest Storage and Processing Technology in Russia: Reducing Yield Loss Ozal, Gareev; Ilyasova, Chekhonin; Ilgiz, Vladimir
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The background of the study is based on the high rate of postharvest agricultural yield loss in Russia, which has had a significant impact on the country's food security and agrarian economy. This yield loss is due to the need for adequate storage and processing technology, thereby shortening the shelf life of farm products and degrading the quality of the crop. This study aims to evaluate the effectiveness of various postharvest storage and processing technologies in reducing agricultural yield losses in Russia. This research method uses a quantitative approach with primary and secondary data collection. Primary data were obtained through surveys and interviews with farmers and agronomists in different agricultural regions of Russia. Secondary data are collected from official reports, scientific journals, and related publications. Data analysis was carried out using statistical techniques to measure the impact of storage and processing technologies on yield loss rates and the quality of agricultural products. The results showed that applying cold storage, drying, and vacuum packaging technologies significantly reduced agricultural yield losses by up to 30% compared to conventional methods. In addition, this technology also improves the quality and shelf life of agricultural products, thereby expanding market reach and increasing farmers' incomes. The study also found that adopting this technology still needs to be improved in some areas due to a lack of knowledge and high initial investment. The study's conclusion shows that postharvest storage and processing technologies have great potential to reduce agricultural yield losses in Russia. To achieve maximum benefits, awareness-raising and training for farmers and investment support from the government and the private sector are needed. Thus, the application of this technology can contribute significantly to food security and the improvement of the welfare of farmers in Russia.
The Role of Biotechnology in Plant Breeding for Sustainable Agriculture in Brazil Derk, Knapen; Nathan, Scherer; Jonathan, Orozco
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sustainable agriculture is a critical goal for Brazil, a country with vast agricultural potential and significant biodiversity. Biotechnology has emerged as a powerful tool in plant breeding, offering innovative solutions to enhance crop productivity, resilience, and sustainability. Integrating biotechnological methods into traditional breeding programs holds promise for addressing the challenges of climate change, pests, and diseases. This study aims to investigate the role of biotechnology in plant breeding to promote sustainable agriculture in Brazil. The research seeks to evaluate the effectiveness of biotechnological interventions in improving crop yields, resistance to biotic and abiotic stresses, and overall agricultural sustainability. A mixed-methods approach was employed, combining quantitative analysis of crop performance data with qualitative insights from interviews with agricultural experts and biotechnologists. Field trials were conducted across various regions in Brazil to assess the impact of genetically modified crops and other biotechnological innovations on agricultural outputs. Data on crop yields, pest resistance, drought tolerance, and environmental impact were collected. The findings indicate that biotechnological approaches significantly enhance crop performance, including genetic modification and marker-assisted selection. Crops developed through biotechnology showed increased yields, improved resistance to pests and diseases, and better adaptation to environmental stresses. Additionally, these crops required fewer chemical inputs, reducing environmental pollution and promoting sustainability. Biotechnology is pivotal in advancing plant breeding for sustainable agriculture in Brazil. Integrating biotechnological methods into traditional breeding programs has proven effective in addressing critical agricultural challenges, leading to enhanced crop productivity and environmental sustainability. These findings underscore the importance of continued investment in biotechnological research and development to support sustainable farming practices in Brazil.
Smart Fertilization Technology for Agricultural Efficiency in Canada Rogger, Trinh; Jonathan, Hayes; Lindsey, Kaleb
Techno Agriculturae Studium of Research Vol. 1 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Agricultural efficiency is a critical concern in Canada, where large-scale farming and diverse climatic conditions demand innovative solutions. Smart fertilization technology has emerged as a promising approach to optimize nutrient use, reduce environmental impact, and enhance crop yields. This technology integrates data-driven decision-making processes with precise nutrient application methods. This study aims to investigate the effectiveness of intelligent fertilization technology in improving agricultural efficiency in Canada. The research evaluates how this technology can optimize fertilizer use, enhance crop productivity, and minimize environmental impact. A mixed-methods approach combined field experiments and data analysis. Field trials were conducted across various regions in Canada to assess the impact of intelligent fertilization technology on crop yields and nutrient use efficiency. Data on soil health, crop performance, and environmental parameters were collected and analyzed using statistical and computational methods. Surveys and interviews with farmers provided additional insights into the practical implications of adopting this technology. The findings indicate that innovative fertilization technology improves fertilizer use efficiency, leading to higher crop yields and reduced environmental impact. Crops treated with clever fertilization methods showed an average yield increase of 20% compared to traditional fertilization practices. Soil health indicators also improved, demonstrating better nutrient balance and reduced leaching of harmful substances into the environment. Smart fertilization technology offers a viable solution for enhancing agricultural efficiency in Canada. This technology can contribute to more sustainable farming practices by optimizing fertilizer use and improving crop productivity. The positive outcomes observed in this study highlight the importance of further research and the widespread adoption of intelligent fertilization methods to achieve long-term agricultural sustainability.  

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 2 No. 6 (2025) Vol. 2 No. 5 (2025) Vol. 2 No. 4 (2025) Vol. 2 No. 3 (2025) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 4 (2024) Vol. 1 No. 3 (2024) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024)