Open Access
BIO Web Conf.
Volume 117, 2024
International Conference on Life Sciences and Technology (ICoLiST 2023)
Article Number 01007
Number of page(s) 11
Published online 05 July 2024
  • N. Keskin, O. Kaya, F. Ates, & M. Turan, Drying grapes after the application of different dipping solutions: effects on hormones, minerals, vitamins, and antioxidant enzymes in Gök Üzüm (Vitis vinifera L.) raisins.Plants, 11 (2022) 529. [CrossRef] [PubMed] [Google Scholar]
  • A. Al-Jabri, Budidaya Anggur Balai Penelitian Tanah. Warta Penelitian Dan Pengembangan Pertanian, 30 (2008) 14-16. [Google Scholar]
  • Sukadi, Teknis Budidaya Anggur (Batu: Balai Penelitian Tanaman Jeruk dan Buah Subtropika Pusat Penelitian dan Pengembangan Hortikultura Badan Penelitian dan Pengembangan Pertanian Kementrian Pertanian, 2020). [Google Scholar]
  • N. P. and S. S. M. Winarno, U. H. Yudowati, S. Kusumo, Budidaya Anggur (Solok: Balai Penelitian Hortikultura Solok Pusat Penelitian dan Pengembangan Hortikultura Badan Penelitian dan Pengembangan Pertanian, 1991). [Google Scholar]
  • D. Kok, A Review on Grape Growing in Tropical Regions. Turkish Journal of Agricultural and Natural Sciences Special Issue, (2014) 1236-1241. [Google Scholar]
  • L. Luo, W. Liu, Q. Lu, J. Wang, W. Wen, D. Yan, & Y. Tang, Grape berry detection and size measurement based on edge image processing and geometric morphology. Machines, 9 (2021). [Google Scholar]
  • K Tanaka., Embedded Systems: High Performance Systems, Applications and Projects (2012). [CrossRef] [Google Scholar]
  • T. Baranwal & P. K. Pateriya, Development of IoT based Smart Security and Monitoring Devices for Agriculture. In 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence), (2016) 597-602. [Google Scholar]
  • K. A. Patil & N. R. Kale, A Model for Smart Agriculture Using IoT. In 2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC), (2016) 543-545. [Google Scholar]
  • P. S. N. Reddy, K. T. K. Reddy, P. A. K. Reddy, G. K. Ramaiah, & S. N. Kishor, An IoT based Home Automation Using Android Application. International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), (2016) 285-290. [CrossRef] [Google Scholar]
  • M. Wahvu, E. P., Asih, R. R., Stania, U. R. A., Novianti, A. E., Firmaniar, E., Sarosa, & M., Kusumawardani, Implementation of Automatic Watering System and Monitoring of Nutrients for Grape Cultivation. In 2022 International Conference on Electrical and Information Technology (IEIT) (2022), pp. 59-64. [CrossRef] [Google Scholar]
  • D. Saraswathi, P. Manibharathy, R. Gokulnath, E. Sureshkumar, & K. Karthikeyan, Automation of Hydroponics Green House Farming using IOT. 2018 IEEE International Conference on System, Computation, Automation and Networking, ICSCA 2018, (2018) 1-4. [Google Scholar]
  • V. R. Raut, R. Varma, H., Mulla, & C., Pawar, Soil monitoring, fertigation, and irrigation system using IoT for agricultural application. In Intelligent Communication and Computational Technologies: Proceedings of Internet of Things for Technological Development (2018), pp. 67-73. [CrossRef] [Google Scholar]
  • N. Bakhtar, V. Chhabria, I. Chougle, H. Vidhrani, & R. Hande, IoT based hydroponic farm. Proceedings of the International Conference on Smart Systems and Inventive Technology, ICSSIT 2018, (2018) 205-209. [Google Scholar]
  • P. Changmai, T., Gertphol, & S., Chulak, Smart hydroponic lettuce farm using Internet of Things. In 2018 10th international conference on knowledge and smart technology (KST) (2018), pp. 231-236. [CrossRef] [Google Scholar]
  • J. H. Gultom, M. Harsono, T. D. Khameswara, & H. Santoso, Smart IoT Water Sprinkle and Monitoring System for Chili Plant. In 2017 International Conference on Electrical Engineering and Computer Science (ICECOS), (2017) 212-216. [CrossRef] [Google Scholar]
  • E. Aziz, F. A., Sarosa, & M., Rohadi, Monitoring system water pH rate, turbidity, and temperature of river water. In IOP Conference Series: Materials Science and Engineering, 732 (2020) 012106. [CrossRef] [Google Scholar]
  • O. Pandithurai, S. Aishwarya, B. Aparna, & K. Kavitha, AGRO-TECH: A DIGITAL MODEL FOR MONITORING SOIL AND CROPS USING INTERNET OF THINGS (IOT). In 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM) , (2017) 342-346. [CrossRef] [Google Scholar]
  • J. C. D. Regalado,& R. G., Cruz, Soil pH and nutrient (nitrogen, phosphorus and potassium) analyzer using colorimetry. In 2016 IEEE region 10 conference (TENCON) (2016), pp. 2387-2391. [CrossRef] [Google Scholar]
  • R. C. Monteiro-Silva, F., Jorge, & P. A., Martins, Optical sensing of nitrogen, phosphorus and potassium: A spectrophotometrical approach toward smart nutrient deployment. Chemosensors, 7 (2019) 51. [CrossRef] [Google Scholar]
  • R. Madhumathi, R., Arumuganathan, & T., Shruthi, Soil NPK and moisture analysis using wireless sensor networks. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (2020), pp. 1-6. [Google Scholar]

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