Optimization of Drip Irrigation System to Improve Water Use Efficiency and Tomato Crop Productivity

This literature review explores the optimization of drip irrigation systems to improve water use efficiency (WUE) and tomato crop productivity, particularly under dryland conditions. Four key studies were analyzed, focusing on hydraulic performance, integrated technologies, and agronomic outcomes. Sharu and Razak (2020) demonstrated that hydraulic modeling using EPANET achieved excellent water emission uniformity (CU and EU > 95%) with potential for energy savings through optimized pump power. Nurazila and Anggraini (2022) reported that drip irrigation significantly enhanced vegetative growth and WUE compared to manual irrigation. Suvitha et al. (2021) highlighted that drip fertigation with medium frequency and high NPK dosage maximized yield and WUE in sandy soils. Ramakrishna et al. (2024) found that combining drip irrigation with black plastic mulch resulted in the highest plant growth, fruit yield, and WUE by reducing evaporation. Collectively, the findings confirm that integrating supporting technologies—such as hydraulic modeling, fertigation, and mulching—can significantly enhance drip irrigation efficiency, conserve water, and improve tomato productivity, offering strong potential for adoption in water-limited agricultural regions.

Authors

Institutions

Publication Details

Journal
Journal of Agriculture
Published
2025-08-16
DOI
https://doi.org/10.47709/joa.v4i02.6810
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Drip Irrigation System to Improve Water Use Efficiency and Tomato Crop Productivity

S. Surya, Pratiwi Mulianda, Annisa Purnamasari Damanik
Journal of Agriculture
Irrigation Practices and Water Management
article

Optimization of Drip Irrigation System to Improve Water Use Efficiency and Tomato Crop Productivity

S. Surya, Pratiwi Mulianda, Annisa Purnamasari Damanik
article en

Abstract

This literature review explores the optimization of drip irrigation systems to improve water use efficiency (WUE) and tomato crop productivity, particularly under dryland conditions. Four key studies were analyzed, focusing on hydraulic performance, integrated technologies, and agronomic outcomes. Sharu and Razak (2020) demonstrated that hydraulic modeling using EPANET achieved excellent water emission uniformity (CU and EU > 95%) with potential for energy savings through optimized pump power. Nurazila and Anggraini (2022) reported that drip irrigation significantly enhanced vegetative growth and WUE compared to manual irrigation. Suvitha et al. (2021) highlighted that drip fertigation with medium frequency and high NPK dosage maximized yield and WUE in sandy soils. Ramakrishna et al. (2024) found that combining drip irrigation with black plastic mulch resulted in the highest plant growth, fruit yield, and WUE by reducing evaporation. Collectively, the findings confirm that integrating supporting technologies—such as hydraulic modeling, fertigation, and mulching—can significantly enhance drip irrigation efficiency, conserve water, and improve tomato productivity, offering strong potential for adoption in water-limited agricultural regions.

Journal of AgricultureVol. 4(02)
Jakarta State Polytechnic (ID)
Openalex Percentile: Top 70%
Irrigation Practices and Water Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimization of Drip Irrigation System to Improve Water Use Efficiency and Tomato Crop Productivity — S. Surya, Pratiwi Mulianda, et al. · Journal of Agriculture (2025) | TGRS Research Map | TGRS