Phytech 2025
Sustainable Practices Report
Empowering Growers to Maximize Yields and Conserve Resources
From conserving water and energy to maximizing crop potential, 2025 marked another year of milestones, driven by our customers


2025 Phytech in Numbers
25K
Enrolled Fields
598K
Covered acres
43M
Trees tracked
6.1M
Recorded irrigation events
Water Conservation
Irrigating according to plant needs lowers water inputs
26.8%
Water savings v. industry standard
152B
Gallons saved in 2025
1,388,127
These savings are equivalent to the annual water usage of 1.3M US households
Optimized Crop Performance
When plants avoid water stress, they achieve maximal growth and optimized yields
94%
Average stress days prevention
5,244,069
Plant Status Calculations in 2025
1,128,627T
These savings are equivalent to the carbon sequestered by 1.13M acres of US forest
Energy
Efficient irrigation leads to lower energy consumption
126,584T
Carbon emissions avoided through reduced irrigation pumping
89.6%
Of irrigation events in off-peak hours
14,304,011
These savings are equivalent to 14M gallons of gasoline consumed
How: Phytech users make data-informed decisions using a multi-pronged approach

Monitor and transmit real-time field-inputs and crop data
Calculation Methodology
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Water savings compare irrigation (measured per valve per event by Phytech’s in-field sensors) to industry standard recommendations. Industry standard irrigation amounts are determined using the United Nations Food and Agriculture Organization Recommendations (FAO, 2012) dataset.
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Carbon avoided is calculated based on the electricity savings achieved from reduced irrigation pumping. We model electricity savings per unit of irrigation water pumped (kWh per ac-ft) based on USDA datasets and research (USDA 2018 Irrigation and Water Management Survey, Robert B. Sowby, Emily Dicataldo. "The energy footprint of U.S. irrigation: A first estimate from open data." Energy Nexus (2022)).
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Phytech estimates carbon removal using its proprietary dendrometer sensors, and periodic measurements of trunk circumference. Together, these two data points allow us to calculate total changes in tree biomass using standard allometric equations. This approach is based on the UN Clean Development Mechanism methodology for Estimation of Carbon Stocks in Trees and Shrubs.
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The stress prevention score is based on Phytech’s proprietary plant status algorithm. The stress prevention score gives the percentage of days in which trees were not in yield-affecting stress. The plant status score is based on continuous measurement and calculation of key metrics, including plant growth and maximum daily shrinkage.
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Tree count assumes an average of 113 trees per acre across all monitored fields.

Water Stewardship
That Works for Growers
and the Companies That Depend on Them
As members of the California Water Action Collaborative (CWAC) and partners of the Bonneville Environmental Foundation (BEF), Phytech delivers real, verifiable water savings at scale — helping growers thrive while enabling companies to meet sustainability, sourcing, and watershed commitments.



Why smarter water use matters across the whole supply chain
Grower Challenges
Rising water prices and pumping costs
Increasing regulation and compliance pressure
Risk of yield loss from plant stress
Lack of visibility into water flow, pressure, and system issues
Labor shortages and execution inconsistencies
Corporate Challenges
Difficulty proving water impact with credible, basin-level data
Supply chain risk in water-stressed regions
Pressure to meet water, climate, and ESG commitments
Need for transparent, verifiable reporting (not estimates)
Desire to support growers without adding operational burden
Grower Challenges
Corporate Challenges
Rising water prices and pumping costs
Difficulty proving water impact with credible, basin-level data
Increasing regulation and compliance pressure
Supply chain risk in water-stressed regions
Risk of yield loss from plant stress
Pressure to meet water, climate, and ESG commitments
Lack of visibility into water flow, pressure, and system issues
Need for transparent, verifiable reporting (not estimates)
Labor shortages and execution inconsistencies
Desire to support growers without adding operational burden




