Precision Crop Management for Indoor Farming

被引:0
|
作者
Sabri, Fatin Nadia [1 ]
Hanif, Noor Hazrin Hany Mohamad [1 ]
Janin, Zuriati [2 ]
机构
[1] Int Islamic Univ Malaysia, Kulliyyah Engn, Dept Mechatron, Kuala Lumpur, Malaysia
[2] Univ Teknol MARA, Shah Alam, Malaysia
关键词
Precision crop management; Indoor farming;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper offers a method to manage crops for indoor farming which is focused on providing the crops a precise amount of water, ambient temperature and humidity. The proposed method utilizes six soil moisture sensors that are placed in the soil around the crops, and the source of water is mounted above the plants. The water pump was repeatedly tested at different configurations to determine the optimum flow rate and pressure of the water supply. The saturation point of the soil under investigation was also identified to precisely control the amount of water supplied to the plants. The advantage of this crop management system is that it could be remotely monitored using IoT (Internet of Things). The outcome of this work shows optimistic possibility of managing indoor farming in precise conditions to yield optimum production of crops.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] Enhanced precision Multi-Crop farming using Machine Learning Recommendations
    Kumar, E. Prem
    Priyadarshini, R.
    [J]. 2024 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND APPLIED INFORMATICS, ACCAI 2024, 2024,
  • [32] Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment
    Patel, Devangi Hitenkumar
    Shah, Kamya Premal
    Gupta, Rajesh
    Jadav, Nilesh Kumar
    Tanwar, Sudeep
    Neagu, Bogdan Constantin
    Attila, Simo
    Alqahtani, Fayez
    Tolba, Amr
    [J]. AGRONOMY-BASEL, 2023, 13 (10):
  • [33] Enhancing Precision of Crop Farming towards Smart Cities: An Application of Artificial Intelligence
    Addas, Abdullah
    Tahir, Muhammad
    Ismat, Najma
    [J]. SUSTAINABILITY, 2024, 16 (01)
  • [34] Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
    Fawakherji, Mulham
    Potena, Ciro
    Pretto, Alberto
    Bloisi, Domenico D.
    Nardi, Daniele
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2021, 146
  • [35] Estimating spatially variable soil properties for application of crop models in precision farming
    Irmak, A
    Jones, JW
    Batchelor, WD
    Paz, JO
    [J]. TRANSACTIONS OF THE ASAE, 2001, 44 (05): : 1343 - 1353
  • [36] NITROGEN NUTRITION OF CROP PLANTS IN THE PRECISION FARMING SYSTEM IN THE SOUTH AND SOUTHEAST KAZAKHSTAN
    Gusev, V. N.
    Bastaubayeva, Sh. O.
    Khidirov, A. E.
    Zhusupbekov, E. K.
    Tabynbayeva, L. K.
    [J]. SABRAO JOURNAL OF BREEDING AND GENETICS, 2022, 54 (04): : 842 - 850
  • [37] Sustainable energy management for indoor farming in hot desert climates
    Sanfilippo, Antonio
    Kafi, Abdellah
    Jovanovic, Raka
    Shannak, Sa'd
    Ahmad, Noormazlinah
    Wanik, Zamri
    [J]. SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2024, 71
  • [38] An Application of System Dynamics to Characterize Crop Production for Autonomous Indoor Farming Platforms (AIFP)
    Ryu, Jae Hyeon
    Subah, Zarin
    Baek, Jeonghyun
    [J]. HORTICULTURAE, 2023, 9 (12)
  • [39] PRECISION FARMING
    不详
    [J]. FUTURIST, 1993, 27 (06) : 56 - 56
  • [40] Weed management, tillage and crop rotations in dryland farming systems
    Regehr, DL
    [J]. SOIL EROSION AND DRYLAND FARMING, 2000, : 63 - 71