Development of microcontroller based lemon ripening condition monitoring system

This paper presents the development of microcontroller based lemon ripening condition monitoring system using National Instrument LabVIEW software. Ripening of the lemon occurs on its plant and is generally characterized from the changes in its color, size and the acidic level. In this paper, the ripening stages of the lemon are analyzed based upon change in their in colors at different stages. The ripening stages of lemon at the plant are analyzed directly from its image obtained from the wireless camera interfaced with the microcontroller board. The image data file is wirelessly transferred and stored using Wi-Fi communication in Dropbox. The image data file is retrieved from gmail server and is processed in LabVIEW to monitor the condition of lemon. On identifying the ripening condition of lemon, an email is send to the intended user account for picking the lemon and preventing it from over ripening.

[1]  Neeraj Khera.  Real time condition monitoring system for tomato ripening , 2014, International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014).

[2]  Nesimi Ertugrul.  LabVIEW for Electric Circuits, Machines, Drives, and Laboratories , 2002 .

[3]  Chin E. Lin,et al.  A real time remote control architecture using mobile communication , 2002, IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276).

[4]  C. Y. Liew,et al.  Determination of quality parameters in Cavendish banana during ripening by NIR spectroscopy. , 2012 .

[5]  Boying Wen,et al.  Devices for Automatic Irrigation Based on GSM Network and Radio Communication , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[6]  R. Visvanathan,et al.  Changes in Colour Value of Banana var. Grand Naine during Ripening , 2014 .

[7]  Hesong Huang,et al.  A Greenhouse Remote Monitoring System Based on GSM , 2011, 2011 International Conference on Information Management, Innovation Management and Industrial Engineering.

[8]  Deborah Estrin,et al.  Sensor networks: a bridge to the physical world , 2004 .

[9]  Shakeb A. Khan,et al.  Low cost online method for condition monitoring of aluminum electrolytic capacitors , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).