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Crop Monitoring Agent System Based on Pattern Recognition Techniques

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1130)


Agriculturalists frequently visit farms to monitor the condition of plants and the crop. The monitoring spends time and augments the cost of production. Conventional monitoring techniques and inspection may cause low crop production, and severe diseases attack, the plague of insects and parasites. This paper describes the design, development, and validation of an integrated infrastructure of sensors network with an intelligent agent for crop monitoring grow in a greenhouse or a tunnel. This infrastructure supports the agriculturists to remotely monitor and advise the farmers to take appropriate measures, according to the environmental conditions. The main modules are the data acquisition, the image processing to find out deficiencies of nutrients, and the advice provided according to the events detection to minimize critical effects.


  • Remote sensing
  • Knowledge-based agent system
  • Image processing

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Correspondence to Aslam Muhammad .

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Hanif, A., Muhammad, A., Martinez-Enriquez, A.M., Muhammad, A. (2020). Crop Monitoring Agent System Based on Pattern Recognition Techniques. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication. FICC 2020. Advances in Intelligent Systems and Computing, vol 1130. Springer, Cham.

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