ABSTRACT

In order to offer an accurate image of the fruit's quality, quantity, and maturity, fruit monitoring is an essential tool. Observing each individual tree in a huge farm to learn about the fruits is challenging. There are various limitations to using the manual inspection technique. There are different applications of the image processing and IoT sensors in various sectors. Using image processing for crop diagnostics is popular in the agriculture business. The IoT-based system is able to remotely monitor field conditions owing to sensors. This paper presents a framework for ripe fruit monitoring using image processing and the sensor based Internet of Things (IoT). On the other hand, the correlation coefficients (R2) for fruit counting and size estimation are 0.996% and 0.998% respectively. Keywords: Fruit monitoring, Image Processing, Ripeness, IoT
Publication date: 01/12/2021

https://ijbpas.com/pdf/2021/December/MS_IJBPAS_2021_DEC_SPCL_2024.pdf

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https://doi.org/10.31032/IJBPAS/2021/10.12.2024