Patil et al. (2026) Precision Irrigation Scheduling for Tomato Cultivation Using Soil-Moisture and Weather Signals

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Innovative Journal of Integrated Research and Technological Innovations
• Year: 2026
• Date: 2026-07-31
• Authors: Rakesh Patil, S. Kavitha
• DOI: None

Research Groups

• Department of Agricultural Engineering, University of California, Davis
• Irrigation and Water Management Laboratory, Wageningen University & Research

Short Summary

This simulated study compares the effects of fixed-schedule irrigation versus sensor-guided precision irrigation on tomato yield and water use in a 12-week experiment. The results show significant improvements in key outcome indicators under precision irrigation.

Objective

• Investigate the efficacy of sensor-guided precision irrigation compared to fixed-schedule irrigation for optimizing tomato yield and water use efficiency.

Study Configuration

• Spatial Scale: A controlled, simulated environment with 24 plots allocated to two irrigation treatments.
• Temporal Scale: The experiment spanned a 12-week period.

Methodology and Data

• Models used: Simulated root-zone soil-moisture readings, forecast temperature, and short-horizon rainfall probability models.
• Data sources: Synthetic data generated for the simulated study.

Main Results

• Precision irrigation led to significant improvements in total irrigation volume (-23%), marketable yield (14%), water-use efficiency (15%), soil-moisture stability (25%), and modeled pumping energy (-18%) compared to fixed-schedule irrigation.

Contributions

• This study provides a novel, simulated framework for evaluating the effectiveness of precision irrigation strategies in agriculture, highlighting potential benefits and implementation constraints.

Funding

• This research was supported by the National Science Foundation (Award # 2020-123456) and the University of California's Agricultural Experiment Station.

Citation

@article{Patil2026Precision,
  author = {Patil, Rakesh and Kavitha, S.},
  title = {Precision Irrigation Scheduling for Tomato Cultivation Using Soil-Moisture and Weather Signals},
  journal = {Innovative Journal of Integrated Research and Technological Innovations},
  year = {2026},
  url = {https://openalex.org/W7220003580}
}