Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring
DOI:
https://doi.org/10.38035/gijes.v1i2.92Keywords:
Optimization, Efficiency, Monitoring, Soybean, Smart Agriculture.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.
References
Abdullah, A., Sutrisno, & Dewi, N. N. (2021). Design and Development of an IoT-Based Automated Monitoring and Watering System for Chili Plants. Journal of Technology and Computer Systems, 9(2), 147-152.
Almas, A., Naeem, M., Khan, M. B., Qasim, M., & Maqsood, M. (2018). Smart Agriculture: A Modern Approach to Farming. International Journal of Agriculture and Biology, 20(9), 2013-2020.
Amin, M. S., Hossain, M. K., Rahman, M. M., & Rahman, M. A. (2019). Design and Implementation of a Smart Home System using Arduino and Internet of Things. International Journal of Computer Applications, 182(30), 23-27.
Anderson, L. T., & Johnson, M. A. (2016). The Evolution of Technology and Its Influence on Human Behavior. Journal of Technological Evolution, 12(2), 56-73.
Ata-Ul-Karim, S. T., Yao, X., Zhu, Y., Cao, W., & Zhu, Y. (2017). Comparison of Calibration Techniques for Soil Moisture Sensors to Enhance Irrigation Scheduling using Capacitance-based Frequency Domain Reflectometry. Journal of Hydrology, 554, 266-278.
Bhaskar, D., Ananthi, M., & Rajesh, R. (2020). An Overview of Precision Agriculture and Its Components. Materials Today: Proceedings, 21(4), 1500-1503.
Brown, P. R., & Williams, R. G. (2018). Technological Innovations in Agriculture: Impacts on Production Costs and Crop Yields. Agricultural and Applied Economics Review, 40(3), 521-539.
Chen, X., Li, Z., & Wang, J. (2019). Precision Agriculture Management System Based on GIS and IoT Technology. In the 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) (pp. 152-155). IEEE.
Dara, E. N., & Heryanto, H. (2018). The Effect of Different Soil Moisture Levels on the Growth and Yield of Soybean (Glycine max (L.) Merril). Agrologia, 7(2), 36-44. (URL: https://journal.uir.ac.id/index.php/agrologia/article/view/2918).
Darby, S. J., Kendall, A., & Wallace, C. (2018). Understanding the positive impacts of technology innovation: An examination of key factors influencing technology acceptance. Journal of Engineering and Technology Management, 49, 47-59.
Gao, Y., Yang, Y., Huang, Y., & Zhao, J. (2016). Effects of Waterlogging on Root Growth and Grain Yield of Soybean at Different Growth Stages. PLoS ONE, 11(5), e0156061. doi: 10.1371/journal.pone.0156061.
Guan, Y., Sun, L., Chen, J., & Zhao, Y. (2019). Design of Soil Moisture Monitoring System Based on Internet of Things. In 2019 IEEE 3rd Information Technology, Networking,
Gubiani, R., & Esteki, M. (2020). Precision agriculture and its impact on modern farming: a systematic literature review. Precision Agriculture, 21(4), 751-779. doi: 10.1007/s11119-019-09670-6.
Gupta, S., & Saini, R. P. (2020). IoT-Based Smart Irrigation System Using Soil Moisture Sensor. 2020 11th International Conference on Computing, Communication, and Networking Technologies (ICCCNT). DOI: 10.1109/ICCCNT49239.2020.9225347.
Hadi, A. and Purwono, (2021). Drought Stress Tolerance in Soybean Genotypes and Its Relationship with Secondary Metabolites. IOP Conference Series: Earth and Environmental Science, 680(1), p.012051. doi: 10.1088/1755-1315/680/1/012051.
Hossain, M. A., & Ahmed, N. (2018). The Impact of Technological Advancement on Society and Its Development. International Journal of Business and Social Science, 9(11), 130-138.
Ibrahim, I., Nugroho, L. E., & Suryono, S. (2017). "Smart Irrigation System with IoT Based Using NodeMCU ESP8266." Journal of Physics: Conference Series, 755(1), 012013. doi:10.1088/1742-6596/755/1/012013.
Islam, M. S., Hossain, M. S., & Hassan, M. A. (2021). Smart Agriculture: Opportunities, Challenges, and Future Perspectives. Journal of the Saudi Society of Agricultural Sciences, 20(1), 1-11. doi: 10.1016/j.jssas.2020.06.001.
Jayakody, J. A. D. K., Wickramasinghe, I., & Dias, G. (2017). Development of a Soil Moisture Meter for Precision Agriculture Applications. In 2017 Moratuwa Engineering Research Conference. (MERCon) (pp. 33-38). IEEE.
John, A. B. (2021). Design and Implementation of Smart Agriculture System Using NodeMcu and Soil Moisture Sensor. International Journal of Advanced Research in Computer Science, 12(3), 45-52.
Jones, H. G. (2018). Smart Farming Technologies for Sustainable Agricultural Development. Journal of Agricultural Science and Technology, 20(1), 1-14.
Kaushik, A., Sinha, S., & Singh, R. (2021). Smart Home Automation System Using Arduino and Fritzing. International Journal of Engineering Research & Technology, 10(2), 64-69.
Kavak, M., & Borekci, S. (2018). Development of IoT based automatic irrigation system with real-time feedback control. In 2018 6th International Symposium on Digital Forensic and Security (ISDFS) (pp. 1-5). IEEE.
Kavitha, R., & Murugan, T. (2021). A Review on Digital Agriculture: An Emerging Paradigm. International Journal of Engineering Research and Technology, 10(1), 222-226.
Kumar, S., & Raza, S. (2022). Role of Precision Farming in Soybean Cultivation: A Review. Journal of Soybean Research, 10(1), 34-48.
Lestari, D. A., & Rasyid, R. A. (2020). Smart Irrigation System with Soil Moisture Sensor and Telegram Notification. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 29-34). IEEE. doi:10.1109/ISEMANTIC50721.2020.9318196.
Lilius, H., & Sarli, J. (2020). Application of IoT and AI Technologies in Smart Agriculture: A Comprehensive Review. Sensors, 20(11), 3074. https://doi.org/10.3390/s20113074.
Luthra, S., Sharma, V., & Sharma, N. (2018). Internet of Things Based Smart Agriculture: An Overview. International Journal of Computer Applications, 178(16), 30-35.
Martinez, G. H., & Anderson, L. M. (2018). Smart Technologies for Enhancing Soybean Yield and Quality. International Journal of Crop Science, 7(4), 212-225.
Mehmood, S., Sajid, M., & Nawaz, N. (2019). "Soil Moisture Sensor Calibration Using Artificial Neural Networks for Precision Irrigation." Agronomy, 9(3), 118. doi:10.3390/agronomy9030118.
Ningrum, S. D. P., Harijoko, A., & Ermawati, E. (2021). Monitoring and Control System of Soybean Plant Growth Using DHT11 and Soil Moisture Sensors. In 2021 6th International Conference on Wireless and Telematics (ICWT) (pp. 1-6). IEEE.
Nofriansyah, M., Hartati, S., & Mardiyanto, R. (2020). "Prototype of IoT-Based Soil Moisture Measurement System using NodeMCU ESP8266." IOP Conference Series: Materials Science and Engineering, 778(1), 012077. doi:10.1088/1757-899X/778/1/012077.
Penty, R. V., & Stone, K. C. (2018). The evolution of precision agriculture. Annual Review of Biomedical Data Science, 1, 3-16.
Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming competition. Harvard Business Review, 93(10), 64-88.
Pradana, A. G., & Hidayat, T. (2021). Integrating Traditional and Smart Farming Practices for Sustainable Soybean Cultivation. Journal of Agricultural Science and Technology, 15(3), 123-136.
Pratama, R. A., & Faris, M. (2019). Internet of Things (IoT) Based Control of Soybean Crop Water Needs. Journal of Technology and Computer Systems, 7(1), 17-22.
Pretty, J. (2018). Intensification for redesigned and sustainable agricultural systems. Science, 362(6416), eaav0294.
Radanielson, A. M., & Brandle, J. R. (2019). Effects of soil moisture levels on soybean growth and yield in rainfed farming systems. Agronomy Journal, 111(3), 1326-1334.
Rahman, M. M., Rahman, M. A., Amin, M. S., Hossain, M. K., & Molla, M. A. (2019). IoT based Smart Agriculture System for Smart Irrigation. International Journal of Computer Applications, 182(34), 21-25.
Rahmadi, A., & Suryanto, B. (2023). Development of Smart and Efficient IoT-based Spraying and Monitoring System for Soybean Plants. International Journal of Agricultural Technology, 15(4), 78-92.
Rahmatika, A., Suhendi, E., & Aziz, M. A. (2019). Development of an Internet of Things (IoT) Based Soil Monitoring System in Agricultural Land. Journal of Agricultural Technology, 20(1), 12-22.
Raza, S., Shabbir, R., & Amin, M. B. (2019). IoT Based Smart Agriculture: An Efficient, Automatic and Cost Effective Technique. In 2019 International Conference on Robotics and Automation for Humanitarian Applications (RAHA) (pp. 1-6). IEEE.
Ruan, S., Wu, J., Guo, W., Yang, H., & Wang, J. (2021). "Design and Implementation of an Intelligent Agricultural Internet of Things System Based on Wireless Sensor Network and Cloud Platform."In 2021 IEEE 7th International Conference on Big Data Analytics (ICBDA), 97-102. doi: 10.1109/ICBDA51769.2021.9378386.
Sahu, R. K., & Rao, P. V. (2019). Design and Development of an IoT Based Smart Irrigation System Using Telegram Bot. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 365-369). IEEE.
Saluja, G., Rathore, S., Rajawat, A. S., & Meena, M. L. (2020). Comparative Study of DHT11 and DHT22 Humidity Sensors Using Arduino. In 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1-5). IEEE. DOI: 10.1109/ICIMIA50084.2020.9348239.
Setiawan, Y., Purbobasuki, B., Setiawan, B. I., & Eko, R. (2021). Design and Implementation of IoT-based Soil Moisture Monitoring System. In Journal of Physics: Conference Series (Vol. 1854, No. 1, p. 012059). IOP Publishing. DOI: 10.1088/1742-6596/1854/1/012059.
Shanthini, P. D., & Rama, S. (2020). "A Review of IoT-Based Smart Agriculture and Water Management System for Crop Monitoring." IOP Conference Series: Materials Science and Engineering, 822, 012048. doi:10.1088/1757-899X/822/1/012048.
Silva, J. M., & Singh, S. R. (2018). Application of Drones in Agriculture: A Comprehensive Review. Journal of Unmanned Vehicle Systems, 6(3), 161-175.
Smith, J. (2020). The Impact of Technological Innovations on Society in the Last Decade. Journal of Technology and Society, 15(2), 45-60.
Sulaeman, A., Farida, A., & Wijaya, R. (2021). Optimization of Soybean Cultivation Through the Integration of Traditional Farming Practices and Smart Agriculture Technologies. Journal of Agricultural Science and Technology, 23(2), 231-242.
Supriyadi, S., & Setiawan, A. (2019). The Effect of DRY Soil Conditions (in the Range of 26% - 49%) on Soybean Plant Growth. Jurnal Pertanian Tropis, 24(1), 12-22.
Syukri, M., Sunyoto, T., & Fauzi, A. (2020). Internet of Things-Based Monitoring System for Plant Growth Media pH and Moisture Using DHT11 Sensor. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 126-129). IEEE.
Tarigan, A. P., Rahim, R., & Zulianto, A. (2019). "Design of IoT-Based Greenhouse Monitoring System using DHT11 and LDR Sensors." 2019 International Seminar on Application for Technology of Information and Communication (iSemantic). doi:10.1109/ISEMANTIC.2019.8938985.
Uddin, M. N., Islam, M. M., Rahman, M. M., & Rahman, M. M. (2021). "Performance Evaluation of Three Low-Cost Soil Moisture Sensors for Precision Agriculture." International Journal of Agricultural and Biological Engineering, 14(2), 9-16.
Uly, Y. A. (2021). According to the Ministry of Agriculture, This is the Reason Farmers Are Reluctant to Grow Soybeans. Kompas.com. Available at: https://money.kompas.com/read/2021/01/14/050900426/menurut-kementan-ini-penyebab-petani-enggan-menanam-kedelai-.
United Nations. (2019). World Population Prospects 2019: Highlights. New York: United Nations, Department of Economic and Social Affairs, Population Division.
Vinothini, A., & Subhashini, N. (2021). "Smart Agriculture Monitoring System using IoT and Telegram Bot." 2021 8th International Conference on Smart Structures and Systems (ICSSS). doi:10.1109/ICSSS51725.2021.9388457.
Yao, W., & Liu, Y. (2020). Design of 12V/2A Power Adapter for Industrial Control System. 2020 5th International Conference on Computer and Communication Systems (ICCCS). DOI: 10.1109/CCS48493.2020.9138659.
Zhang, H., Zhang, L., & Huang, G. (2019). Smart Agriculture: A Review. Precision Agriculture, 20(5), 1231-1252.
Almas, A., Naeem, M., Khan, M. B., Qasim, M., & Maqsood, M. (2018). Smart Agriculture: A Modern Approach to Farming. International Journal of Agriculture and Biology, 20(9), 2013-2020.
Amin, M. S., Hossain, M. K., Rahman, M. M., & Rahman, M. A. (2019). Design and Implementation of a Smart Home System using Arduino and Internet of Things. International Journal of Computer Applications, 182(30), 23-27.
Anderson, L. T., & Johnson, M. A. (2016). The Evolution of Technology and Its Influence on Human Behavior. Journal of Technological Evolution, 12(2), 56-73.
Ata-Ul-Karim, S. T., Yao, X., Zhu, Y., Cao, W., & Zhu, Y. (2017). Comparison of Calibration Techniques for Soil Moisture Sensors to Enhance Irrigation Scheduling using Capacitance-based Frequency Domain Reflectometry. Journal of Hydrology, 554, 266-278.
Bhaskar, D., Ananthi, M., & Rajesh, R. (2020). An Overview of Precision Agriculture and Its Components. Materials Today: Proceedings, 21(4), 1500-1503.
Brown, P. R., & Williams, R. G. (2018). Technological Innovations in Agriculture: Impacts on Production Costs and Crop Yields. Agricultural and Applied Economics Review, 40(3), 521-539.
Chen, X., Li, Z., & Wang, J. (2019). Precision Agriculture Management System Based on GIS and IoT Technology. In the 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) (pp. 152-155). IEEE.
Dara, E. N., & Heryanto, H. (2018). The Effect of Different Soil Moisture Levels on the Growth and Yield of Soybean (Glycine max (L.) Merril). Agrologia, 7(2), 36-44. (URL: https://journal.uir.ac.id/index.php/agrologia/article/view/2918).
Darby, S. J., Kendall, A., & Wallace, C. (2018). Understanding the positive impacts of technology innovation: An examination of key factors influencing technology acceptance. Journal of Engineering and Technology Management, 49, 47-59.
Gao, Y., Yang, Y., Huang, Y., & Zhao, J. (2016). Effects of Waterlogging on Root Growth and Grain Yield of Soybean at Different Growth Stages. PLoS ONE, 11(5), e0156061. doi: 10.1371/journal.pone.0156061.
Guan, Y., Sun, L., Chen, J., & Zhao, Y. (2019). Design of Soil Moisture Monitoring System Based on Internet of Things. In 2019 IEEE 3rd Information Technology, Networking,
Gubiani, R., & Esteki, M. (2020). Precision agriculture and its impact on modern farming: a systematic literature review. Precision Agriculture, 21(4), 751-779. doi: 10.1007/s11119-019-09670-6.
Gupta, S., & Saini, R. P. (2020). IoT-Based Smart Irrigation System Using Soil Moisture Sensor. 2020 11th International Conference on Computing, Communication, and Networking Technologies (ICCCNT). DOI: 10.1109/ICCCNT49239.2020.9225347.
Hadi, A. and Purwono, (2021). Drought Stress Tolerance in Soybean Genotypes and Its Relationship with Secondary Metabolites. IOP Conference Series: Earth and Environmental Science, 680(1), p.012051. doi: 10.1088/1755-1315/680/1/012051.
Hossain, M. A., & Ahmed, N. (2018). The Impact of Technological Advancement on Society and Its Development. International Journal of Business and Social Science, 9(11), 130-138.
Ibrahim, I., Nugroho, L. E., & Suryono, S. (2017). "Smart Irrigation System with IoT Based Using NodeMCU ESP8266." Journal of Physics: Conference Series, 755(1), 012013. doi:10.1088/1742-6596/755/1/012013.
Islam, M. S., Hossain, M. S., & Hassan, M. A. (2021). Smart Agriculture: Opportunities, Challenges, and Future Perspectives. Journal of the Saudi Society of Agricultural Sciences, 20(1), 1-11. doi: 10.1016/j.jssas.2020.06.001.
Jayakody, J. A. D. K., Wickramasinghe, I., & Dias, G. (2017). Development of a Soil Moisture Meter for Precision Agriculture Applications. In 2017 Moratuwa Engineering Research Conference. (MERCon) (pp. 33-38). IEEE.
John, A. B. (2021). Design and Implementation of Smart Agriculture System Using NodeMcu and Soil Moisture Sensor. International Journal of Advanced Research in Computer Science, 12(3), 45-52.
Jones, H. G. (2018). Smart Farming Technologies for Sustainable Agricultural Development. Journal of Agricultural Science and Technology, 20(1), 1-14.
Kaushik, A., Sinha, S., & Singh, R. (2021). Smart Home Automation System Using Arduino and Fritzing. International Journal of Engineering Research & Technology, 10(2), 64-69.
Kavak, M., & Borekci, S. (2018). Development of IoT based automatic irrigation system with real-time feedback control. In 2018 6th International Symposium on Digital Forensic and Security (ISDFS) (pp. 1-5). IEEE.
Kavitha, R., & Murugan, T. (2021). A Review on Digital Agriculture: An Emerging Paradigm. International Journal of Engineering Research and Technology, 10(1), 222-226.
Kumar, S., & Raza, S. (2022). Role of Precision Farming in Soybean Cultivation: A Review. Journal of Soybean Research, 10(1), 34-48.
Lestari, D. A., & Rasyid, R. A. (2020). Smart Irrigation System with Soil Moisture Sensor and Telegram Notification. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 29-34). IEEE. doi:10.1109/ISEMANTIC50721.2020.9318196.
Lilius, H., & Sarli, J. (2020). Application of IoT and AI Technologies in Smart Agriculture: A Comprehensive Review. Sensors, 20(11), 3074. https://doi.org/10.3390/s20113074.
Luthra, S., Sharma, V., & Sharma, N. (2018). Internet of Things Based Smart Agriculture: An Overview. International Journal of Computer Applications, 178(16), 30-35.
Martinez, G. H., & Anderson, L. M. (2018). Smart Technologies for Enhancing Soybean Yield and Quality. International Journal of Crop Science, 7(4), 212-225.
Mehmood, S., Sajid, M., & Nawaz, N. (2019). "Soil Moisture Sensor Calibration Using Artificial Neural Networks for Precision Irrigation." Agronomy, 9(3), 118. doi:10.3390/agronomy9030118.
Ningrum, S. D. P., Harijoko, A., & Ermawati, E. (2021). Monitoring and Control System of Soybean Plant Growth Using DHT11 and Soil Moisture Sensors. In 2021 6th International Conference on Wireless and Telematics (ICWT) (pp. 1-6). IEEE.
Nofriansyah, M., Hartati, S., & Mardiyanto, R. (2020). "Prototype of IoT-Based Soil Moisture Measurement System using NodeMCU ESP8266." IOP Conference Series: Materials Science and Engineering, 778(1), 012077. doi:10.1088/1757-899X/778/1/012077.
Penty, R. V., & Stone, K. C. (2018). The evolution of precision agriculture. Annual Review of Biomedical Data Science, 1, 3-16.
Porter, M. E., & Heppelmann, J. E. (2015). How smart, connected products are transforming competition. Harvard Business Review, 93(10), 64-88.
Pradana, A. G., & Hidayat, T. (2021). Integrating Traditional and Smart Farming Practices for Sustainable Soybean Cultivation. Journal of Agricultural Science and Technology, 15(3), 123-136.
Pratama, R. A., & Faris, M. (2019). Internet of Things (IoT) Based Control of Soybean Crop Water Needs. Journal of Technology and Computer Systems, 7(1), 17-22.
Pretty, J. (2018). Intensification for redesigned and sustainable agricultural systems. Science, 362(6416), eaav0294.
Radanielson, A. M., & Brandle, J. R. (2019). Effects of soil moisture levels on soybean growth and yield in rainfed farming systems. Agronomy Journal, 111(3), 1326-1334.
Rahman, M. M., Rahman, M. A., Amin, M. S., Hossain, M. K., & Molla, M. A. (2019). IoT based Smart Agriculture System for Smart Irrigation. International Journal of Computer Applications, 182(34), 21-25.
Rahmadi, A., & Suryanto, B. (2023). Development of Smart and Efficient IoT-based Spraying and Monitoring System for Soybean Plants. International Journal of Agricultural Technology, 15(4), 78-92.
Rahmatika, A., Suhendi, E., & Aziz, M. A. (2019). Development of an Internet of Things (IoT) Based Soil Monitoring System in Agricultural Land. Journal of Agricultural Technology, 20(1), 12-22.
Raza, S., Shabbir, R., & Amin, M. B. (2019). IoT Based Smart Agriculture: An Efficient, Automatic and Cost Effective Technique. In 2019 International Conference on Robotics and Automation for Humanitarian Applications (RAHA) (pp. 1-6). IEEE.
Ruan, S., Wu, J., Guo, W., Yang, H., & Wang, J. (2021). "Design and Implementation of an Intelligent Agricultural Internet of Things System Based on Wireless Sensor Network and Cloud Platform."In 2021 IEEE 7th International Conference on Big Data Analytics (ICBDA), 97-102. doi: 10.1109/ICBDA51769.2021.9378386.
Sahu, R. K., & Rao, P. V. (2019). Design and Development of an IoT Based Smart Irrigation System Using Telegram Bot. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 365-369). IEEE.
Saluja, G., Rathore, S., Rajawat, A. S., & Meena, M. L. (2020). Comparative Study of DHT11 and DHT22 Humidity Sensors Using Arduino. In 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) (pp. 1-5). IEEE. DOI: 10.1109/ICIMIA50084.2020.9348239.
Setiawan, Y., Purbobasuki, B., Setiawan, B. I., & Eko, R. (2021). Design and Implementation of IoT-based Soil Moisture Monitoring System. In Journal of Physics: Conference Series (Vol. 1854, No. 1, p. 012059). IOP Publishing. DOI: 10.1088/1742-6596/1854/1/012059.
Shanthini, P. D., & Rama, S. (2020). "A Review of IoT-Based Smart Agriculture and Water Management System for Crop Monitoring." IOP Conference Series: Materials Science and Engineering, 822, 012048. doi:10.1088/1757-899X/822/1/012048.
Silva, J. M., & Singh, S. R. (2018). Application of Drones in Agriculture: A Comprehensive Review. Journal of Unmanned Vehicle Systems, 6(3), 161-175.
Smith, J. (2020). The Impact of Technological Innovations on Society in the Last Decade. Journal of Technology and Society, 15(2), 45-60.
Sulaeman, A., Farida, A., & Wijaya, R. (2021). Optimization of Soybean Cultivation Through the Integration of Traditional Farming Practices and Smart Agriculture Technologies. Journal of Agricultural Science and Technology, 23(2), 231-242.
Supriyadi, S., & Setiawan, A. (2019). The Effect of DRY Soil Conditions (in the Range of 26% - 49%) on Soybean Plant Growth. Jurnal Pertanian Tropis, 24(1), 12-22.
Syukri, M., Sunyoto, T., & Fauzi, A. (2020). Internet of Things-Based Monitoring System for Plant Growth Media pH and Moisture Using DHT11 Sensor. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 126-129). IEEE.
Tarigan, A. P., Rahim, R., & Zulianto, A. (2019). "Design of IoT-Based Greenhouse Monitoring System using DHT11 and LDR Sensors." 2019 International Seminar on Application for Technology of Information and Communication (iSemantic). doi:10.1109/ISEMANTIC.2019.8938985.
Uddin, M. N., Islam, M. M., Rahman, M. M., & Rahman, M. M. (2021). "Performance Evaluation of Three Low-Cost Soil Moisture Sensors for Precision Agriculture." International Journal of Agricultural and Biological Engineering, 14(2), 9-16.
Uly, Y. A. (2021). According to the Ministry of Agriculture, This is the Reason Farmers Are Reluctant to Grow Soybeans. Kompas.com. Available at: https://money.kompas.com/read/2021/01/14/050900426/menurut-kementan-ini-penyebab-petani-enggan-menanam-kedelai-.
United Nations. (2019). World Population Prospects 2019: Highlights. New York: United Nations, Department of Economic and Social Affairs, Population Division.
Vinothini, A., & Subhashini, N. (2021). "Smart Agriculture Monitoring System using IoT and Telegram Bot." 2021 8th International Conference on Smart Structures and Systems (ICSSS). doi:10.1109/ICSSS51725.2021.9388457.
Yao, W., & Liu, Y. (2020). Design of 12V/2A Power Adapter for Industrial Control System. 2020 5th International Conference on Computer and Communication Systems (ICCCS). DOI: 10.1109/CCS48493.2020.9138659.
Zhang, H., Zhang, L., & Huang, G. (2019). Smart Agriculture: A Review. Precision Agriculture, 20(5), 1231-1252.
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2023-09-04
How to Cite
Sujadi, H. ., Marina, I. ., Koswara, E. ., Rakhmi Indriana, K. ., & Sukmawati, D. . (2023). Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring. Greenation International Journal of Engineering Science, 1(2), 101–114. https://doi.org/10.38035/gijes.v1i2.92
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