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All Journal Greenation International Journal of Engineering Science
Harun Sujadi
Faculty of Engineering, Majalengka University, Majalengka, Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring Harun Sujadi; Ida Marina; Engkos Koswara; Kovertina Rakhmi Indriana; Dety Sukmawati
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.92

Abstract

The objective of this study is to optimise the productivity of soybean production through the integration of agricultural technologies inside plant monitoring systems. The objective of incorporating technology is to enhance the monitoring and management processes of soybean crops, with the ultimate goal of improving productivity and boosting harvest yields.This paper presents a proposal for the use of diverse agricultural technologies, including soil sensors, environmental sensors, drones, and data analysis based on artificial intelligence. Soil and environmental sensors are utilised for the purpose of monitoring soil conditions, moisture levels, and weather conditions in the vicinity of soybean agricultural fields. Drones are employed for comprehensive terrestrial surveillance and prompt identification of botanical concerns. The utilisation of artificial intelligence in data analysis involves the processing of information gathered from sensors and drones, enabling the provision of real-time insights and recommendations to farmers.By incorporating these agricultural technologies, it is anticipated that farmers would be able to effectively and efficiently utilise resources such as water, fertilisers, and pesticides, ensuring optimal usage in terms of precision and timeliness. Furthermore, the implementation of precise monitoring techniques and prompt responses to alterations in plant conditions within agricultural settings can effectively mitigate the potential hazards associated with crop loss resulting from pest or disease infestations.
Optimizing Soybean Cultivation Efficiency through Agricultural Technology Integration in Plant Monitoring System Ida Marina; Harun Sujadi; Kovertina Rakhmi Indriana
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.93

Abstract

Agriculture plays a crucial role in fulfilling global food needs and promoting societal well-being. Soybean cultivation, as a strategic food crop, offers essential protein sources for humans and livestock while enhancing soil fertility through nitrogen fixation. However, the increasing global demand for soybeans poses challenges for farmers, particularly in terms of cultivation efficiency. These challenges are further exacerbated by climate change, land use, disease threats, and commodity price fluctuations. The advancement of agricultural technology, such as IoT, remote sensing, artificial intelligence, and predictive modeling, holds significant promise in improving soybean cultivation's efficiency and productivity. Precision agriculture emerges as a pivotal approach to support agricultural efficiency, productivity, and profitability. Expert systems and image processing techniques like artificial neural networks and genetic algorithms play a vital role in implementing precision agriculture. Information technology's use in precision agriculture focuses on data collection, analysis, and application in farming. Despite considerable research proposing technology integration in soybean cultivation, comprehensive studies on its potential integration remain limited. Thus, this international research aims to analyze the prospects of integrating agricultural technology into plant monitoring systems. Its primary goal is to contribute to the development of sustainable and efficient agricultural practices, considering environmental conditions and natural resource potentials. The findings will serve as a strategic foundation for agricultural stakeholders and policymakers to enhance soybean cultivation's sustainability, productivity, and quality, while effectively addressing global food challenges in the future.
Co-Authors Engkos Koswara Ida Marina Indriana, Kovertina Rakhmi