BushelPro (Scans)

Project Objective

The core objective of this project is to develop a comprehensive bushel and data management platform for farmers. The platform aims to facilitate accurate measurement of crop yield, total weight, and total bushels by implementing backend formulas. Users can input data manually or scan it using patent-pending data capturing process, enabling convenient load storage and management. The platform will employ a smart algorithm to calculate and display the number of bushels obtained from a field, storing this information for future reference.

Project Solution

App Maisters proposes a comprehensive solution for a bushel and data management platform for farmers. The solution includes a user-friendly mobile application available for iOS and Android, along with a web-based admin panel. The mobile app features a visually appealing splash screen, a secure login system with the option to remember credentials, and an app tutorial to guide new users. Additionally, there is a password reset functionality for forgotten passwords. The app allows farmers to add new crop years, fields, and loads, either manually or by scanning using a patent-pending data-capturing process. The dashboard provides an overview of crops and loads, including total weight and bushels. A history section allows users to view previous years’ data, while the scan count feature tracks the number of scans performed. The side menu offers access to user profiles, scan counts, app sharing, contacting the admin, and logging out. The settings section allows users to manage notifications, change passwords, handle subscriptions, set payment methods, review privacy policies, terms and conditions, and delete accounts. The web-based admin panel provides login and password reset functionality for administrators. The dashboard offers key performance indicators, such as the total number of users, earnings, and subscription counts. The panel includes features to send notifications to users, manage user accounts, generate reports, and access Google Analytics. The proposed solution aims to streamline bushel and data management for farmers while providing an intuitive interface for administrators to oversee and maintain the system.


Project Implementation

The bushel and data management platform implementation involved a step-by-step process. App Maisters began by gathering detailed requirements from the stakeholders to understand their specific needs. Based on these requirements, a solution design document was created to outline the architecture, features, and functionalities of the mobile application and admin panel. The development team then proceeded to build the mobile application for iOS and Android platforms, adhering to industry best practices for code quality and security. Simultaneously, the web-based admin panel was developed, providing system administrators with the necessary tools to manage users, generate reports, and monitor key performance indicators. Rigorous testing was conducted throughout the implementation process to ensure a high-quality and reliable solution. Finally, the completed system was deployed, and support and maintenance services were provided to ensure its smooth operation.

Main Features Of The App

The mobile application for the bushel and data management platform offers several key features to facilitate efficient crop measurement and data storage for farmers. The main features of the app include:

These features collectively provide farmers with a comprehensive bushel and data management solution, empowering them to accurately measure crop yield, store load information, track historical data, and make data-driven decisions for improved agricultural productivity.

Tools And Technologies

Results And Benefits

The implementation of the bushel and data management platform for farmers yields several significant results and benefits, providing enhanced efficiency and convenience for agricultural operations. These include:

Overall, the implementation of the bushel and data management platform provides farmers with accurate yield measurements, streamlined data management, improved decision-making capabilities, and increased productivity, leading to enhanced efficiency and better outcomes in their agricultural operations.