Irrigation App
Published in academic literature
App Summary
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Detailed Description
Functionality & Mechanism
The Irrigation App functions as a mobile decision-support tool designed to optimize water application scheduling for agricultural use. It is a refined adaptation of an Excel-based scheduler, re-engineered for smartphone platforms to enhance accessibility and field utility. The system provides irrigators with timely recommendations for water application to meet specific crop requirements. Its interface is structured to offer convenient and direct visual support for daily operational decisions based on changes in available soil moisture.
Evidence & Research Context
- The associated research identifies precise irrigation scheduling—applying the correct water amount at the correct time—as a persistent challenge in achieving full crop production potential.
- Scientific literature positions smartphone app-based systems as an innovative method for irrigation scheduling, developed to be more accurate and accessible than traditional approaches.
- The app's design aligns with scheduling methods that leverage key environmental data, such as soil moisture, to inform water management decisions.
- The development of such tools is part of a broader technological advancement in agriculture, with research exploring further integration of IoT and machine learning for enhanced precision.
Intended Use & Scope
This application is intended for farmers and professional irrigators as a field-based tool for daily water management. Its primary utility is to provide decision support for routine irrigation scheduling. The app is not a substitute for comprehensive soil analysis or professional agronomic consultation, which remain necessary for complex or large-scale operational planning.
Studies & Publications
Peer-reviewed research associated with this app.
Irrigation Scheduling Methods: Overview and Recent Advances
Dong et al. (2022) · Irrigation and Drainage - Recent Advances
Referenced in academic literature; no direct evaluation of the appApp Information
Developer
Michigan State UniversityCategory
Evidence Profile
Published in academic literature
Platforms
Updated
Jun 2025
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