Smart Farming for Efficient Crop Growth

Authors

  • R.R. Thirrunavukkarasu Assistant Professor, Electronics and Communication Engineering, Sri Krishna College of Technology Coimbatore, India.
  • M. Deepika Electronics and Communication Engineering, Sri Krishna College of Technology Coimbatore, India.
  • R. Dharshini Electronics and Communication Engineering, Sri Krishna College of Technology Coimbatore, India.
  • A. Infant Shiny Electronics and Communication Engineering, Sri Krishna College of Technology Coimbatore, India.
  • S. Karthiga Electronics and Communication Engineering, Sri Krishna College of Technology Coimbatore, India.

DOI:

https://doi.org/10.34293/acsjse.v3i2.83

Keywords:

IoT, Matlab, LCD, Microcontroller, Leaf Disease Detection, pH Monitoring

Abstract

India largely depends on the agriculture sector. Besides, agriculture is not just a mean of livelihood but a way of living life in India. India is heavily dependent on the agricultural sector. Moreover, farming is not just a livelihood in India, it is a way of life. Crop monitoring plays an important role in controlling various pests, weeds or diseases in crops. This provides information about the current state of the crop and anticipates time to predict what the next crop problem will be. Improper management and protection of crops causes more infections and affects overall production. Some factors are most important for plant growth. Monitoring plant growth and health is difficult. A variety of pathogens are present in the environment, greatly affecting plants and the soil in which they are planted, thus affecting production. The lack of current mechanisms prevents people from receiving assistance with leaf-damaging diseases and preventative measures. The suggested method offers full-field surveillance and foliar disease identification using real-time measurements of field variables like temperature, humidity, and other live monitoring. This makes tracking variables and troubleshooting simple. Users can check current data and automatically adjust the flow of water through the programme even when there isn't any water around. Finally, plant information such as temperature and humidity was transmitted to farmers through the iot platform.

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Published

01-09-2023

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Section

Articles