Enventorz Tech

The concept explains that perishable food crops have very short shelf-life and average farmers do not afford expensive storage facilities. Information technology offers a solution to replace traditional storage techniques by smart storage techniques. Internet of things (IoT) is becoming popular in agriculture sector as a way to extend the shelf life of perishable food crops. This solution proposes a framework for improving the shelf life using IoT technology and developing a smart storage chamber. The proposed system helps to predict the shelf life of mangoes after harvesting and has the capability to categorize mangoes into different quality standards such as Extra Class, Class I, and Class II using a database inventory system. IoT sensors including temperature and humidity sensors are used in this system. A camera is also attached for capturing live images and prediction is made on the basis of live images. Smart storage chamber is designed to maintain a stable environment for the mango fruit, which can greatly extend its shelf life. The implementation of this system has the potential to reduce post-harvest mango loss by converting traditional storage methods into a smart storage chamber.

We are Enventorz, a collaborative research team from the Institute of Computing, MNS-University of Agriculture (MNSUAM), Multan, Pakistan. Syed Wajahat Mashkoor (Team Leader): Leads project direction, IoT integration and deep learning model training. Raheel Yaqoob: Backend Developer and Azure Specialist, responsible for APIs and server-side architecture. Hafiz Muhammad Ajmal Naseer: Supports application development, backend tasks and system testing. Together, our team has driven the design, development and deployment of a smart storage & quality-assessment system for perishable crops (with a focus on mangoes). Our project integrates IoT sensors, real-time image-based classification and predictive shelf-life modeling to reduce post-harvest losses.