Abstract
The Internet of Things (IoT) playing an important role in every sector. The use of number of IoT devices becomes double every year. Smart agriculture is evolving as a need. Automation is playing an important role in agriculture sector. The quality, growth, and productivity of yield is increased due to automation. Manual segregation of fruits decreases the quality. A lot of time is wasted in grading of fruits. As sorting being one of the most important industrial challenge, a reliable segregation and taxonomy system is needed. In the proposed system, by using the multiple processed algorithmic photos, the system will recognize suitable things on the basis of its color, look, size and the amount of damage. System will provide good kind of photo that can provide facility for packing to the farmers if they want to. By the assistance of preparing and analyzing pictures, the system will find the items dependent on its shading, surface, size, and deformities. The procedure will provide a higher caliber of the image with a reason to help comparatively for bundling the items in ventures. The utilization of raspberry pi together with the sensor and flapper instrument, the method of programmed bundling will enhance the nature of outcomes in a higher manner. Right from plucking to packing all things are connected with the IoT which helps to perform tasks more smoothly, timely and improves the connectivity between different units of smart agriculture. The proposed system is more reliable, efficient and gives better performance as compared to existing one.
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Change history
22 February 2022
This chapter was inadvertently published with an incorrect affiliation for the first author, Ganesh Khekare, as G H Raisoni College of Engineering, Nagpur, India.
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Khekare, G., Wankhade, K., Dhanre, U., Vidhale, B. (2022). Internet of Things Based Best Fruit Segregation and Taxonomy System for Smart Agriculture. In: Verma, J.K., Saxena, D., González-Prida, V. (eds) IoT and Cloud Computing for Societal Good. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-73885-3_4
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