Proceedings :: International Society of Precision Agriculture

Proceedings

Find matching any: Reset

Variable-Rate Irrigation, Drainage Optimization, and Water Management

» Add more topics

Add filter to result:

Authors

Alchanatis, V

Bahat, I

Bassoi, L.H

Boeno, D

Botero, J.F

Campos de Oliveira, F.M

Cha Valdez, M.E

Cohen, Y

Costa, B.S

Duque, J

Ferreira, E.J

GUERRA, P

Goldshtein, E

Grünzweig, J.M

Gutierrez, S.A

Jorge, L.A

Kamienski, C

Keisar, O

Lacerda, L

Lidor, G

Netzer, Y

Oldoni, H

Porter, W

Raucci, A.R

Sharma, V

Zapata, J.I

sigdel, U

Topics

Variable-Rate Irrigation, Drainage Optimization, and Water Management

Type

Oral

Poster

Year

2026

Home » Topics » Results

Topics

Filter results5 paper(s) found.
1. Precision Irrigation and Beyond: A Multi-Step Zoning Approach for Vineyard Water Management and Wine Quality Enhancement Spatial variability in soil moisture, terrain, and vine physiology presents a major challenge for efficient water management in vineyards. Traditional uniform irrigation often fails to address this heterogeneity, limiting both water use efficiency and wine quality. This study investigated spatial and temporal variations in vine water stress over five consecutive growing seasons, and evaluated zone-specific precision agriculture strategies to support improved irrigation and complementary viney... Y. Cohen, I. Bahat, J.M. Grünzweig, V. Alchanatis , O. Keisar, G. Lidor, E. Goldshtein, Y. Netzer Download paper
2. Evaluation of Irrigation Efficiency Using Precision Agriculture Tools on a Mandarin Orange Farm Afourer in Paysandú, Uruguay Efficient water management in citrus farming requires monitoring systems that integrate real-time climate data and accurate soil moisture measurements to optimize irrigation decisions within a precision agriculture framework, accounting for spatial variability in soil water availability. The use of continuous monitoring technologies improves the efficiency of drip irrigation and reduces water losses associated with both water deficits and excesses in commercial production systems. Facing this... M.E. Cha Valdez, D. Boeno, J.I. Zapata , J. Duque Download paper
3. A Hybrid Non-Destructive Approach Combining Image Processing and Spectral Feature Selection for Grapevine Leaf Water Content Estimation Reliable and continuous estimation of leaf water content (LWC) is essential for viticulture, as it enables assessment of spatiotemporal variability in vine water demand and supports improved irrigation management efficiency within Precision Agriculture (PA) practices. Although the gravimetric method based on fresh weight (FW) and dry weight (DW) measurements provides accurate LWC estimates, it is time-consuming, destructive, and exhibits limited scalability for large sample sizes. In contrast... L.H. Bassoi, B.S. Costa, E.J. Ferreira, H. Oldoni, L.A. Jorge Download paper
4. Soil-Sensing-Based Irrigation Decision Modeling for Greenhouse Tomato Crops Using Machine Learning Global agriculture faces increasing pressure to optimize water-use efficiency, particularly for high-demand crops like tomato (Solanum lycopersicum). Tomato is among the most widely consumed vegetables worldwide, playing a central role in global food systems. From an agronomic perspective, tomato crops are highly sensitive to water availability and distribution, requiring precise irrigation management to ensure sustainable production and high-quality yields. In controlled environments such as... P. Guerra, A.R. Raucci, S.A. Gutierrez , J.F. Botero, C. Kamienski, F.M. Campos De Oliveira Download paper
5. On-Farm Application of Variable Rate Irrigation Strategies It is estimated that nearly 70% of the world’s freshwater withdrawals are used for agriculture. As water resources continue to decline, agricultural systems face increasing pressure to maximize productivity to meet growing global food demand while ensuring sustainable water use. Addressing water management challenges is therefore critical. Variable rate irrigation (VRI) offers a promising solution to improve irrigation use efficiency by adjusting water application rates according to the...

Filter results5 paper(s) found.

1. Precision Irrigation and Beyond: A Multi-Step Zoning Approach for Vineyard Water Management and Wine Quality Enhancement

Spatial variability in soil moisture, terrain, and vine physiology presents a major challenge for efficient water management in vineyards. Traditional uniform irrigation often fails to address this heterogeneity, limiting both water use efficiency and wine quality. This study investigated spatial and temporal variations in vine water stress over five consecutive growing seasons, and evaluated zone-specific precision agriculture strategies to support improved irrigation and complementary viney... Y. Cohen, I. Bahat, J.M. Grünzweig, V. Alchanatis , O. Keisar, G. Lidor, E. Goldshtein, Y. Netzer

Download paper

2. Evaluation of Irrigation Efficiency Using Precision Agriculture Tools on a Mandarin Orange Farm Afourer in Paysandú, Uruguay

Efficient water management in citrus farming requires monitoring systems that integrate real-time climate data and accurate soil moisture measurements to optimize irrigation decisions within a precision agriculture framework, accounting for spatial variability in soil water availability. The use of continuous monitoring technologies improves the efficiency of drip irrigation and reduces water losses associated with both water deficits and excesses in commercial production systems. Facing this... M.E. Cha Valdez, D. Boeno, J.I. Zapata , J. Duque

Download paper

3. A Hybrid Non-Destructive Approach Combining Image Processing and Spectral Feature Selection for Grapevine Leaf Water Content Estimation

Reliable and continuous estimation of leaf water content (LWC) is essential for viticulture, as it enables assessment of spatiotemporal variability in vine water demand and supports improved irrigation management efficiency within Precision Agriculture (PA) practices. Although the gravimetric method based on fresh weight (FW) and dry weight (DW) measurements provides accurate LWC estimates, it is time-consuming, destructive, and exhibits limited scalability for large sample sizes. In contrast... L.H. Bassoi, B.S. Costa, E.J. Ferreira, H. Oldoni, L.A. Jorge

Download paper

4. Soil-Sensing-Based Irrigation Decision Modeling for Greenhouse Tomato Crops Using Machine Learning

Global agriculture faces increasing pressure to optimize water-use efficiency, particularly for high-demand crops like tomato (Solanum lycopersicum). Tomato is among the most widely consumed vegetables worldwide, playing a central role in global food systems. From an agronomic perspective, tomato crops are highly sensitive to water availability and distribution, requiring precise irrigation management to ensure sustainable production and high-quality yields. In controlled environments such as... P. Guerra, A.R. Raucci, S.A. Gutierrez , J.F. Botero, C. Kamienski, F.M. Campos De Oliveira

Download paper

5. On-Farm Application of Variable Rate Irrigation Strategies

It is estimated that nearly 70% of the world’s freshwater withdrawals are used for agriculture. As water resources continue to decline, agricultural systems face increasing pressure to maximize productivity to meet growing global food demand while ensuring sustainable water use. Addressing water management challenges is therefore critical. Variable rate irrigation (VRI) offers a promising solution to improve irrigation use efficiency by adjusting water application rates according to the...