Design and Implementation of IoT based Sensor Module for Real Time Monitoring of Fruit Maturity in Crop Field and in Storage

Abstract

In fruit crops, the ripening of fruit is expressed in terms of change in its physical, physiological & biochemical parameters. Some of the relevant parameters like Size & Shape, Colour, Hardness/Softness, Texture etc. can be treated as reference for its maturity. The final stage of fruit ripening is considered to attain a maturity level of these parameters as an indicator for harvesting the fruit crop or ready to use in ripening storage units/chambers. Development of sensor-based maturity indicators can serve as important technological aid to the farmers. The present paper envisages design and implementation of a portable sensor-based prototype for real time monitoring of fruit maturity in crop field and in storage. The sensing parameters in the proposed design are Colour; Softness; surrounding Temperature& Humidity. An embedded program is developed based on a decision-making algorithm which compares the process values of the sensor output with the reference value of fruit maturity, and the result is displayed and conveyed to the end user. The prototype design is tested for three types of fruits Musa acuminate (Banana- ‘Kela’), Psidium guajava (Gauva-‘Amrood’); Carica (papaya-‘Papita’) and the results are reported in the paper. The proposed design shows 99% accuracy for all three types of fruits.

Plant phenotyping relevance

果実の成熟度という植物器官の状態を、色・硬さ等のセンサーで推定する携帯型プロトタイプを設計・実装し、複数果実で検証しており、表現型取得法が中心である。

Code and data availability

The article reports fruit maturity sensor measurements (color, ultrasonic, temperature/humidity) for guava, banana, and papaya, but contains no data availability statement, no public dataset deposit, no author code/workflow URL, and no supplement with underlying assets. Sensor data appear only as tables/figures within,

No evidence-backed public reproduction asset is currently recorded.