Agriculture robot for irrigation and automation

Kulothungan, S.; Kamalakannan, K.; Thirugnanam, P.

doi:10.5958/2320-3234.2018.00010.0

Cited by 5 publications

(2 citation statements)

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“…Then draw the hardware electrical schematic diagram and wiring diagram, make the electrical cabinet corresponding to the wiring diagram, and install and connect the hardware. Design the hardware operation program for debugging, and carry out the next test after debugging [3]. The hardware of drying control system mainly takes PLC controller as the core.…”

Section: Introductionmentioning

confidence: 99%

Research on electrical automatic control system based on PLC

Jiang

Wang

2022

J. Phys.: Conf. Ser.

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At present, automatic control technology is widely used in the field of drying. Although the existing processing technology can basically ensure the quality of drying, there are some problems, such as low production efficiency, low thermal efficiency, uneven hot air cloth, inaccurate temperature control and so on. The application of electromagnetic technology can improve the efficiency of drying and processing. It has remarkable energy-saving effect. In the drying process, aiming at the technical problems such as incomplete volatilization of water and difficult stability of temperature in rapid drying, a drying system based on PLC control is designed in this paper. Using PLC as the main controller of the control system, through the reasonable control of the changes of temperature and humidity in the drying process, a more efficient processing process can be realized. The drying quality can be improved, and the process flow of mass processing and production can be realized. Through the experimental analysis of the drying process, it is proved that the control accuracy of the research content in this paper is more accurate, which not only improves the automation level in the drying process, but also reduces the labor cost in the process, and has high technical application value.

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Section: Introductionmentioning

confidence: 99%

Research on electrical automatic control system based on PLC

Jiang

Wang

2022

J. Phys.: Conf. Ser.

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“…Real-time data on soil temperature, humidity, water level, and nutrient levels are transmitted to a PC/laptop through a GSM module, providing valuable insights for efficient irrigation management. Kulothungan et al (2018) introduced an agriculture robot designed for irrigation and automation, offering a solution to the challenges posed by weather uncertainty in agriculture. The proposed system integrates a soil moisture sensor to monitor soil moisture levels and activate the water pump as needed, enhancing water conservation.…”

Section: Robot-based Smart Irrigation Systemsmentioning

confidence: 99%

New Trends in Computer Sciences

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Agriculture plays a crucial role in driving economic growth worldwide. With the continuous growth of the global population, the need for food production and labor has become increasingly demanding. However, agriculture faces various challenges throughout the entire process, from planting to harvesting. Key obstacles include inadequate chemical application, pest and disease infestation, improper irrigation, and drainage, weed control, and yield forecasting. These challenges have sparked discussions and concerns about automating agricultural practices. The advent of artificial intelligence (AI) has brought about significant changes in the field of agriculture. This transformative technology offers solutions to safeguard agricultural production against threats such as population growth, climate change, labor disputes, and food security concerns. By harnessing sensors and incorporating them into robots and drones, AI can assist with irrigation, crop monitoring and other vital agricultural tasks. This not only improves worker safety but also mitigates the impact on natural ecosystems, enabling the maintenance of affordable food prices while ensuring increased food production to meet the needs of our expanding global population. This proposed study is designed to highlight the paradigm shift taking place in agriculture, placing a strong emphasis on the integration of AI-driven robots and drones in cultivation, irrigation and crop monitoring. It underscores the tremendous potential of these evolving technologies to address the global challenges associated with feeding a growing population while simultaneously promoting sustainable farming practices. By leveraging AI, robotic farming offers a promising future where agricultural processes are more efficient, productive, and environmentally friendly.

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Robotics and Artificial Intelligence (AI) in Agriculture with Major Emphasis on Food Crops

Gupta,

Gupta

2024

Digital Agriculture

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Agriculture robot for irrigation and automation

Cited by 5 publications

References 0 publications

Research on electrical automatic control system based on PLC

Research on electrical automatic control system based on PLC

New Trends in Computer Sciences

Robotics and Artificial Intelligence (AI) in Agriculture with Major Emphasis on Food Crops

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