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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 50 Documents
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Vertical Farming Innovation in Urban Netherlands: Sustainable Solutions with Modern Hydroponics Nina, Nening; Lucas, Laura; Sridar, Katja
Techno Agriculturae Studium of Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

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Abstract

In the era of globalization and rapid population growth, agricultural land in urban areas is increasingly limited. As a country with a high population density, the Netherlands has adopted vertical farming innovations using modern hydroponics as an alternative to increasing the efficient use of space and resources. This research aims to evaluate the effectiveness of hydroponic vertical farming in urban areas in the Netherlands as a sustainable solution. Specifically, this research focuses on measuring the increase in productivity and reduction in environmental impact compared to traditional farming methods. This research uses a quantitative approach with an experimental design. Data were collected from several vertical farming locations in the urban Netherlands. Variables measured include plant productivity, water use, and carbon emissions. Data analysis was carried out using descriptive and inferential statistics. Results show that vertical farming with modern hydroponics in Dutch urban areas increases crop productivity by 40% and reduces water use by 60% compared to traditional agriculture. In addition, energy use is significantly reduced, which contributes to reduced carbon emissions. Vertical farming using modern hydroponic systems in Dutch urban areas offers an efficient, sustainable solution. By increasing productivity and reducing resource use, this technology could answer future agricultural challenges in dense urban areas. Further research is needed to optimize this technology and adapt it to various geographic and climatic conditions.
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

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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

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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

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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

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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

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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.  
Urban Agricultural Revolution in Japan with Verticulture Technology Ayaka, Ahmya; Hanako, Fujita; Haruka, Hide
Techno Agriculturae Studium of Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

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Abstract

Urban agriculture is gaining traction as a viable solution to food security challenges and environmental sustainability in densely populated cities. With its limited arable land and high urbanization rate, Japan is at the forefront of adopting innovative agricultural practices. Verticulture technology, which involves vertical farming techniques, offers a promising approach to maximizing food production in urban settings while minimizing land use. This study aims to explore the impact of viticulture technology on urban agriculture in Japan. The research evaluates how vertical farming can enhance food production efficiency, reduce environmental impact, and contribute to sustainable urban development. A mixed-methods approach was employed, combining quantitative and qualitative research methods. Data were collected through field experiments in urban vertical farms, surveys of urban farmers, and analysis of production records. Key performance indicators such as crop yield, resource use efficiency, and environmental impact were measured. Additionally, interviews with urban agriculture experts provided insights into viticulture technology's practical implementation and benefits. The findings indicate that viticulture technology significantly improves crop yields and resource use efficiency compared to traditional urban farming methods. Vertical farms demonstrated up to a 30% increase in yield per square meter and a 50% reduction in water usage. The environmental impact was also reduced, with lower greenhouse gas emissions and minimal land use. Survey responses and expert interviews highlighted the technology's potential to support food security and sustainable urban living. Verticulture technology offers a transformative approach to urban agriculture in Japan, enhancing food production efficiency and sustainability. The significant improvements in crop yields, resource use, and environmental impact underscore the potential of vertical farming to address urban food security challenges. Further research and investment in viticulture technology are recommended to optimize its implementation and maximize its benefits for urban development.
Application of Robotics in Large-Scale Agriculture in Australia Emma, Kuhtreiber; Hostetter, Willem; Maya, Wolfe
Techno Agriculturae Studium of Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

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Abstract

The agricultural sector in Australia faces challenges related to labor shortages, high operational costs, and the need for increased efficiency and productivity. Robotics technology offers promising solutions to these challenges by automating various farming tasks, enhancing efficiency, and reducing reliance on manual labor. This study explores the application of robotics in large-scale agriculture in Australia, focusing on its impact on productivity, cost efficiency, and sustainability. The primary aim of this research is to evaluate the effectiveness of robotic technology in improving agricultural practices on large-scale farms in Australia. The study assesses how robotics can enhance productivity, reduce operational costs, and promote sustainable farming practices. A mixed-methods approach was employed, combining quantitative data from field experiments and qualitative insights from interviews with farmers and agricultural experts. Field experiments involved deploying robotic systems for planting, harvesting, and monitoring crop health. Data on productivity, cost savings, and environmental impact were collected and analyzed. Interviews with farmers and experts provided additional insights into the practical benefits and challenges of implementing robotic technology in agriculture. The findings indicate that using robotics in large-scale agriculture significantly increases productivity and reduces operational costs. Robotic systems improved planting and harvesting efficiency by 40% and reduced labor costs by 30%. Environmental benefits were also observed, with more precise application of inputs leading to reduced waste and lower chemical usage. Farmers reported improved crop monitoring and management capabilities, contributing to better overall farm management. The application of robotics in large-scale agriculture in Australia offers substantial productivity, cost efficiency, and sustainability benefits. The study highlights the potential of robotic technology to address labor shortages and operational challenges in the agricultural sector. Further research and investment in robotics are recommended to optimize their use and fully realize their potential in transforming large-scale farming practices.
Mapping and Remote Sensing Technology for Agricultural Land Management in China Yonglong, Shi; Qingjun, Chu; Guanghui, Benxiang
Techno Agriculturae Studium of Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i2.957

Abstract

Agricultural land management in China faces significant challenges due to rapid urbanization, climate change, and the need for sustainable practices. Advanced technologies such as mapping and remote sensing offer promising solutions to enhance agricultural productivity and sustainability. These technologies provide precise data for monitoring crop health, soil conditions, and land use, enabling better decision-making and resource management. This study aims to evaluate the effectiveness of mapping and remote sensing technology in improving agricultural land management in China. The research assesses how these technologies can enhance crop monitoring, optimize resource use, and support sustainable farming practices. A mixed-methods approach was employed, combining quantitative data from satellite imagery and field surveys with qualitative insights from interviews with farmers and agricultural experts. Satellite imagery was analyzed to monitor crop health, soil moisture, and land use patterns. Field surveys were conducted to validate the remote sensing data. Interviews with farmers and experts provided additional insights into these technologies' practical benefits and challenges. The findings indicate that mapping and remote sensing technology significantly improve agricultural land management. Crop health monitoring through remote sensing showed a 25% increase in accuracy compared to traditional methods. Optimized resource use was observed, with a 20% reduction in water and fertilizer usage. Land use patterns were more efficiently managed, leading to better crop rotation and soil conservation practices. Farmers reported enhanced decision-making capabilities and improved crop yields. Mapping and remote sensing technology substantially benefit agricultural land management in China. The increased accuracy in crop monitoring and optimized resource use contribute to higher productivity and sustainability. Further research and investment in these technologies are recommended to maximize their potential and support sustainable agricultural practices.
Spatial Analysis of Land Use Deviations in Sirimau Sub-district, Ambon City Based on Cultivation and Protected Areas, Ambon City Spatial Plan 2011-2031 Hehanussa, Fekry Salim; Rakuasa, Heinrich
Techno Agriculturae Studium of Research Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v1i2.1195

Abstract

This study conducts a spatial analysis of land use deviations in the Sirimau Sub-district of Ambon City, focusing on the impacts of urbanization and population growth on the implementation of the Ambon City Spatial Plan (RTRW) 2011-2031. Utilizing remote sensing and GIS techniques, the research identifies significant discrepancies between planned and actual land use, driven by economic pressures and ineffective enforcement of land use regulations. The findings reveal that the conversion of agricultural land and protected forests into residential areas poses serious threats to environmental sustainability and biodiversity. The study emphasizes the need for enhanced community involvement, better inter-agency coordination, and stricter regulatory enforcement to address these challenges and promote sustainable land use practices in the region.

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