agriculture5 papersavg year 2026weak evidence

Investigating the long-term effects of the IoT-based monitoring and control system on crop yield and water-use efficiency

Research gap analysis derived from 5 agriculture papers in our local library.

The gap

Investigating the long-term effects of the IoT-based monitoring and control system on crop yield and water-use efficiency. Evaluating the scalability of the system for larger agricultural areas. Assessing the potential of the system for use in different climates and soil types.

Evidence profile

Sourced from the future-work section and stated research gap and recommendations and conclusions of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 4 journals. Those papers have been cited 9 times in total.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 5 representative gaps

  • Automated cloud-edge cyber-physical IoT infrastructure for optimizing the agricultural water-energy nexus and yield (2026) · Scientific Reports · doi

    Investigating the long-term effects of the IoT-based monitoring and control system on crop yield and water-use efficiency. Evaluating the scalability of the system for larger agricultural areas. Assessing the potential of the system for use in different climates and soil types.

    generalfuture-work section
    Keywords: investigating long-term effects iot-based monitoring control system crop
  • Research on IoT-Based Sweet Potato Growth Environment Monitoring and Comprehensive Evaluation System (2026) · Electronics · doi

    The limitation of single-factor environmental assessment in autonomous sweet potato farming under open-field conditions. The need for a comprehensive evaluation system that considers multiple environmental factors. The lack of effective technical frameworks for real-time environmental monitoring and precision management in sweet potato farming.

    generalstated research gapevidence 5/5
    Keywords: limitation single-factor environmental assessment autonomous sweet potato farming
  • Development of an integrated smart farm system for open-field soybean cultivation in a former paddy fields (2026) · Frontiers in Sustainable Food Systems · cited 2× · doi

    Most smart farming technologies remain confined to controlled greenhouse environments, leaving a critical gap in scalable solutions for open-field cultivation. Open-field farming is considerably influenced by external climatic factors, necessitating the integrated operation of multiple water management systems to ensure optimal conditions for crop growth.

    generalstated research gapevidence 5/5
    Keywords: smart farming technologies remain confined controlled greenhouse environments
  • Energy Efficiency Assessment in Hydroponic Systems for Return on Investment (RoI) Enhancement (2026) · ASM Science Journal · doi

    and nutrient parameter monitorization’, Smart Agricultural Technology, vol. 8, article 100472. doi: 10.1016/j.atech.2024.100472. Rajendran, S, Domalachenpa, T, Arora, H, Li, P, Sharma, A & Rajauria, G 2024, ‘Hydroponics: Exploring innovative sustainable technologies and applications across crop production, with emphasis on potato mini-tuber cultivation’, Heliyon, vol. 10, no. 5, article e26823. doi: 10.1016/j.heliyon.2024.e26823. Rehman, AU, Alamoudi, Y, Khalid, HM, Morchid, A, Muyeen, S & Abdelaziz, AY 2024, ‘Smart agriculture technology: An integrated framework of renewable energy resources, IoT- based energy management, and precision robotics’, Cleaner

    generalrecommendationsevidence 5/5
    Keywords: smart technology article heliyon energy nutrient parameter monitorization agricultural atech rajendran domalachenpa arora sharma rajauria
  • High-shade dryland agrivoltaic conditions enhanced carbon uptake and water-use efficiency in zucchini (Cucurbita pepo) (2025) · Frontiers in Sustainable Food Systems · cited 7× · doi

    Future research should explore a wider range of crops, including leafy greens and other vegetables, under varying agrivoltaic array densities to determine optimal configurations for maximizing both crop productivity and renewable energy generation in water-stressed environments.

    generalconclusionsevidence 4/5
    Keywords: future explore wider range crops including leafy greens vegetables varying agrivoltaic array densities determine optimal

Questions about this gap

Investigating the long-term effects of the IoT-based monitoring and control system on crop yield and water-use efficiency. Evaluating the scalability of the system for larger agricultural areas. This is supported by 5 representative gap statements extracted from 5 papers, rated weak evidence.

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