IoT and agriculture data analysis for smart farm
By Jirapond Muangprathub, Nathaphon Boonnam, Siriwan Kajornkasirat, Narongsak Lekbangpong, Apirat Wanichsombat, Pichetwut Nillaor. Computers and Electronics in Agriculture, 2019
621 citations recorded by the source corpus.
Abstract In this paper, we propose developing a system optimally watering agricultural crops based on a wireless sensor network. This work aimed to design and develop a control system using node sensors in the crop field with data management via smartphone and a web application. The three components are hardware, web application, and mobile application. The first component was designed and implemented in control box hardware connected to collect data on the crops. Soil moisture sensors are used to monitor the field, connecting to the control box. The second component is a web-based application that was designed and implemented to manipulate the details of crop data and field information. This component applied data mining to analyze the data for predicting suitable temperature, humidity, and soil moisture for optimal future management of crops growth. The final component is mainly used to control crop watering through a mobile application in a smartphone. This allows either automatic or manual control by the user. The automatic control uses data from soil moisture sensors for watering. However, the user can opt for manual control of watering the crops in the functional control mode. The system can send notifications through LINE API for the LINE application. The system was implemented and tested in Makhamtia District, Suratthani Province, Thailand. The results showed the implementation to be useful in agriculture. The moisture content of the soil was maintained appropriately for vegetable growth, reducing costs and increasing agricultural productivity. Moreover, this work represents driving agriculture through digital innovation.
Subfields: Plant Science, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/83ed060560ad572fba9d6f6369726e73a53b3aaf
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In Plant Science
Citations in the corpus
- Role of IoT Technology in Agriculture: A Systematic Literature Review (2020, background): “(d) Architecture: Multiple IoT agricultural architecture designed to collect the data from devices/sensors and store the collected data for proper analysis [68, 72,88].”
- Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies (2021, background): “The framework introduced in their paper, which is based on the integration of WSANs into IoT, offers the advantage of being easily adaptable, modifiable, and extensible for any application in any precision agriculture system environment, regardless of its complexity.”
- Smart Farming Technology Trends: Economic and Environmental Effects, Labor Impact, and Adoption Readiness (2020, background): “These include variable rate applicators [15–17], Internet of things (IoT) [18,19], geo‐positioning systems [20,21], big data [22–24], unmanned aerial vehicles (UAVs, drones) [18,25], automated systems, and robotics [26,27].”
- A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges (2021, background): “Therefore, WSNs technology is mainly used instead of wired transmission in field agriculture [46].”