Conventional irrigation practices are inefficient
Research gap analysis derived from 4 agriculture papers in our local library.
The gap
Conventional irrigation practices are inefficient and wasteful. There is a need for a Smart Irrigation System that combines Internet of Things technology and Machine Learning to enhance irrigation efficiency.
Evidence profile
Sourced from the abstract and stated research gap and future-work section of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 4 journals. Those papers have been cited 41 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- Research and Development of an IoT Smart Irrigation System for Farmland Based on LoRa and Edge Computing (2025) · Agronomy · cited 41× · doi
In response to the current key issues in the field of smart irrigation for farmland, such as the lack of data sources and insufficient integration, a low degree of automation in drive execution and control, and over-reliance on cloud platforms for analyzing and calculating decision making processes, we have developed nodes and gateways for smart irrigation.
generalabstractKeywords: smart irrigation response current issues field farmland lack sources insufficient integration degree automation drive execution - GreenMind:AI-Powered Smart Farming Ecosystem (2026) · International Journal of Creative and Open Research in Engineering and Management · doi
The lack of smart, compact, and autonomous farming ecosystems for urban agriculture. The need for a system that integrates IoT, AI, and cloud computing to monitor environmental parameters and automate irrigation and fertilizer delivery.
generalstated research gapevidence 5/5Keywords: lack smart compact autonomous farming ecosystems urban agriculture - Smart Irrigation System using IOT Device and Machine Learning (2026) · International Journal for Research in Applied Science and Engineering Technology · doi
Conventional irrigation practices are inefficient and wasteful. There is a need for a Smart Irrigation System that combines Internet of Things technology and Machine Learning to enhance irrigation efficiency.
generalstated research gapevidence 5/5Keywords: conventional irrigation practices inefficient wasteful there need smart - Optimizing Water Management in Agriculture: The Role of IoT-Powered Smart Irrigation Systems in Addressing Global Food Security and Water Scarcity (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Future research should explore the long-term impacts of IoT-powered smart irrigation systems on agricultural productivity and sustainability. The study could benefit from including more diverse geographical regions and crop types in future investigations.
generalfuture-work sectionevidence 5/5Keywords: future research explore long-term impacts iot-powered smart irrigation
Questions about this gap
Explore this gap further
Run this gap as a query across open scholarly engines for the latest related literature.
Working on this gap? Review it with us.
Science AI Journal reviews manuscripts in one pass with 8 specialised AI agents calibrated on 69,000+ real peer reviews.
Tools for your next paper
Related gaps in Agriculture
- Of the adaptive traits of landraces is neededfurther investigation of the adaptive traits of landraces is needed, - selection for higher biomass and iWUE should be explored, - the effec…
- The study identifies a gap in the understandingThe study identifies a gap in the understanding of the geotechnical properties of soil in Burdur city center. The study aims to fill this ga…
- At present, there are few studies on systematicallyAt present, there are few studies on systematically and comprehensively evaluating the effects of different production modes on the environm…
- The complexity of the soil microbiome and its responseThe complexity of the soil microbiome and its response to elevated CO2. The need to identify the primary driver of the observed ARG enrichme…