Source: CERMETEK submitted to
THE COMMERCIALIZATION OF A NEW AGRICULTURE SUBSYSTEM (LEAFMON-S) FOR ONLINE, REAL-TIME, LEAF MONITORING TO DETERMINE CROP HEALTH (WATER STRESS LEVEL) FOR PRECISION IRRIGATION AND WATER CONSERVATION.
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1031201
Grant No.
2023-39410-40801
Cumulative Award Amt.
$650,000.00
Proposal No.
2023-04031
Multistate No.
(N/A)
Project Start Date
Sep 1, 2023
Project End Date
Aug 31, 2025
Grant Year
2023
Program Code
[8.4]- Air, Water and Soils
Project Director
Roskos, H.
Recipient Organization
CERMETEK
372-2 TURQUOISE ST
MILPITAS,CA 950355431
Performing Department
(N/A)
Non Technical Summary
This proposal aims to continue the commercialization efforts of the LeafMon-S system technology previously supported via Phase I Grant12960673 (Award No.: 2020-33610-31947) funding.The LeafMon-S technology is an innovative low cost, non-invasive and non-destructive continuous leaf monitoring system that detects and monitors plant water status in real-time during the entire crop growing season. The resultant information provides the grower with measurable values that assist with irrigation management to save water. This proposal addresses "The Conservation of Natural Resources" Program Topic area 8.4 by directly emphasizing water use efficiency (WUE) and water productivity (WP), and indirectly addresses energy consumption through reduced pumping demand. This technology has the potential to lower irrigation water requirements by as much as 30% when compared to more traditional ET based major orchard and vineyard crop (almonds, walnuts, and grapes) irrigation strategies as well as improving crop sustainability efforts.Specifically, IR sensors are used to simultaneously monitor both an active (i.e., live) and an inactive (i.e., dry or dead) leaf of the crop. Additional sensors within the LeafMon-S sensor suite measure humidity, temperature, full spectrum PAR and ambient temperature conditions. With these parameters, plant performance models perfected by UC Davis are employed to calculate VPD (Vapor Pressure Deficit), and plant water health CWSI (Crop Water Stress Index) and PWSI (Plant Water Status Index) metrics.The LeafMon-S contains an industry standard SDI-12 interface. It connects seamlessly to a grower's existing data acquisition systems thereby permitting the grower to monitor the stress level of his plants or crops with the minimum of additional cost or labor resource investment. The grower retrieves the measured parameters and the calculated indices using either their browser (via Cermetek's AquaMonRSVP web site) or pre-existing third-party PLC datalogger APIs to monitor the health of the plant and manage irrigation demands. A grower then applies the minimum required amount of water to ensure that the resulting CWSI/PWSI value stays within a range specific to each plant type.Moreover, this proposal focuses on reducing the grower's cost of purchase/ownership of the LeafMon-S system as well as commercializing additional products and services designed to broaden market penetration and improve/enhance grower efficiency and profitability.
Animal Health Component
25%
Research Effort Categories
Basic
5%
Applied
25%
Developmental
70%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1020110205025%
1110210301075%
Goals / Objectives
Phase II commercialization encompasses cost reduction; enclosure improvements, software/hardware modifications; improved CWSI/PWSI calculations; and commercializing additional products/services to broaden market penetration of LeafMon-S technology and to improve/enhance grower efficiency/profitability.The LeafMon-S proximal technology provides growers the ability to implement Deficit Irrigation (DI), Low Frequency Deficit Irrigation (LFDI), Regulated Deficit Irrigation (RDI) and other water-efficient irrigation methodologies/techniques while maintaining crop yields/quality, reducing water demand, aiding food production, reducing urban build-up in arid/underutilized land, lowering food costs, improving soil healthwith net positive impacts on environmental sustainability and making water availablefor other uses (e.g.,drinking, industrial purposes).Objective 1: CWSI/PWSI indices require an accuratesaturated leaf temperature (TS) reference value. Develop robust techniques to determine leaf temperature (TS) reference value under fully saturated conditions in a given environment. Improve CWSI/PWSI calculations. Automate data set integrity/validation testing. Corroborating grower supplied irrigation event timing data. Thiswill improve accuracy of the CWSI/PWSI metrics and reduce grower support costs.Discussion. TS changes during the growing season due to plant environmental acclimation responses associated with experienced stress history and biological leaf/plant ageing. Aplant's response to the first stressincidenceis often different from subsequent responses to similar stresses.Automate Ts determination.Use various AI techniques, such as artificial neural network (ANN), to recognize Delta TD-L, VPD, previous TS values and other parameter trends during periods of low stress to estimate tree behavior under saturated conditions to make TS determinations.Improve irrigation event timing data accuracy.Use of 1st and 2nd order derivatives and other methods operating on CWSI/PWSI metrics to corroborate grower supplied watering event timing data.Develop methods to automate LeafMon-S data set parametric value integrity/validation testing.Remove spurious data sets.Generate data sets to replace missing/garbled/erroneous data sets.Update LeafMon-S software.Automated TS determination algorithms.Mathematical methods to corroborate grower supplied watering event timing data.Data Set integrity/validation methods.Objective 2: Kearney Agricultural Research Station (UC Davis Facility) to compare LeafMon-S with other competing sensors (e.g., FloraPulse, Dendrometer) and sap flow sensors (e.g., Thermal Dissipation Probe, Saturas Osmometers). Evaluate plant stress acclimatization effects during which traditional methods (e.g., SWP) may not always indicate continuing stomatal activity and productive levels of photosynthetic ability.Discussion. Plant stress acclimatization adaptive responses limit leaf transpiration andguard against current/future harmful hydraulic failure. A onsequenceof acclimatization is reduced photosynthetic activity. Data from Umida Ag's deep subsurface severe RDI system reported traditional stress monitoring systems (e.g., pressure chamber/SWP, Flora Pulse, etc.) indicated complete shutdown.However,plants maintained stomatal/productive photosynthetic activity, as reported by LeafMon-S, resulting in reasonable almond yields.Kearney plot located <1/2 mile of Parlier CIMIS station (ID #039).Light absorption (Intercepted PAR).Arable Advantage Sensor/Data Suite (1/irrigation treatment).Atmos 41 weather station (1/irrigation treatment).UAV flights using RGB, thermal and multispectral sensors to monitor spatial variability of the orchard.LeafMon-S weather data for comparison/evaluation.Kearney plot with 2 irrigation treatments:Fully irrigated (100%ET).RDI (70%ET).Three representative trees each treatment. Selection based on:Canopy size (Volume/Cover area).Spectral reflectance.Soil properties.Historic crop yields.The selected 6 trees (3/irrigation treatment) sensors:Thermal Dissipation Probe.Electronic dendrometer.Saturas Osmometers.LeafMon-S.Canopy measurements using Infra-red thermal radiometers (Apogee).CWSI comparison.Surface energy balance per Jackson et al.LeafMon-S.Hydraulic function benchmarking using various plant-based sensors and LeafMon-S comparing to mid-day pressure bomb (UCANR methodology) SWP and stomatal conductance(SC1-leaf porometer).Moisture sensors at 1, 2 and 3ft depths.Sentek.EC5.Watermark.Portable TDR.Flowmeter to monitor water flow/volume and manage irrigation scheduling each treatment site.OBJECTIVE 3: Modify the LeafMon-S enclosure to ease installation and reduce grower installation costs, to facilitate maintenance, to reduce manufacturing complexity, and to reduce costs.Discussion.Hinged sub-assemblies restrict dome movement during leaf insertion. Landscaping tape used to strap the dome enclosure to adjacent branches. Lengthen IR Sensor Articulated Arms and wiring harnesses to increase the range of movement. Decrease IR Sensor standoffs to accomodate smaller leaves. Upgrade electronics. Acquire 3D fabrication tooling.Modify Enclosure.Remove hinged Upper/Lower Domes/Leaf Retaining Ring and replace with pins and alignment holes to aid attachment of various sub-assembles to Upper/Lower Domes.Add magnets to sub-assemblies to provide "clamping" action to ensure sub-assemblies remain attached to the Upper/Lower Domes during field use.Add external lashing points to enclosure to allow strappingto adjacent branches.Increase length/range of motion of internal articulated arms.Reduce IR Sensor standoff heights.Acquire 3D tooling/capability.Redesign electronics.Combine SDI-12 circuitry with sensor suite electronics.Upgrade uP and internal timing circuitry.Lengthen internal enclosure wiring harnesses.Modify software.Add CWSI/PWSI calculations.Add CWSI/PWSI metrics to data set.OBJECTIVE 4: Increase LeafMon-S universality. Modifying AquaMon Hub to function as a Datalogger PLC and provide Internet access via a USB, Bluetooth, WiFi, cellular modem, or satelite link. Replace analysis programs with web-based applications. Provide growers (fee for non-AquaMon Hub users) to access AquaMonRSVP website by consolidating access into one gateway. Algorithms to address missing, garbled, erroneous data and Inconsistent time/date stamps.Discussion. It is anticipated that an AquaMon Hub/Datalogger PLC will broaden market penetration of Cermetek's precision agricultureproducts/services.Update AquaMon Hub to Include Datalogger PLC functionality.Datalogger USB interface.Update Cellular connectivity.Bluetooth, Wi-Fi, and Satellite connectivity.Increase internal cache memory to store minimum 14 days of data.MS Windows© application to provide datalogger access and control via USB interface for non-Internet growers.AquaMon Hub software.Provide universal SDI-12 ver 1.3 connectivity.Add PLC control, access, storage/retrieval commands.Automatic LeafMon-S data transfer to AquaMonRSVP website (subscription required).AquaMonRSVP website.Algorithms to pre-process LeafMon-S data sets originating from AquaMon Hub containing:Missing, garbled, erroneous data.Inconsistent time/date stamps.Update existing graphics with multiple y-axes (vertical) option.Establish database to preserve third party PLC raw data and pre-processed data created prior to transfer to Cermerek's AquaMonRSVP website.Seamless accessto website for third party PLC users to upload LeafMon-S data towebsite (subscription required).Conditioning software to pre-process LeafMon-S raw data sets originating from third party PLCs to ensure compatibility with existing AquaMonRSVP database.Algorithms to pre-process third party PLC originating LeafMon-S data sets containing:Missing, garbled, erroneous data.Inconsistent time/date stamps.
Project Methods
Product Development and Distribution. This project will be conducted in the following phases.Phase 1 - This phase encompasses the various technical improvements and software enhancements required to meet product specific performance goals and objectives. Upon completion of Phase 1, the commercial LeafMon-Swill be available for widespread field testing by a variety of data collectors and collaborators.Phase 2 - This phase will involve the sale and installation of the initial production of commercialized products to a few select growers who have used the previous generation LeafMon-S units in the field and are anxious to proliferate the LeafMon-S units in their fields. The initial growers which show commercial promise are those growing walnuts, almonds, grapes and pistachios in California. They would verify the usefulness, robustness, and effectiveness of the LeafMon-S.Phase 3 - In this phase, Cermetek will engage with an identified group of a half dozen independent irrigation communication system manufacturers (i.e., controller manufactures) who would find that our LeafMon-S would enhance their product lines and increase their sales. The types of companies that have already been engaged and include: Ranch Systems, Irrometer, Waterbit, Netafim, etc. These manufacturers already produce standard SDI-12 interface controllers that would accept and operate directly with the plug-and-play LeafMon-S.Phase 4 - Lastly, during phase 4 Cermetek will sell the LeafMon-S units to dealers and distributors of irrigation equipment and various forms of agricultural related communication systems from companies mentioned in Phase 3. Each of the dealer- distributors would then sell and support complete systems which would include the LeafMon-S. The simplified design and installation improvements in the LeafMon-S will translate to minimal support service demands from customers, thereby from the dealers, consequently minimizing dealer-distributor cost-of-sales.Evaluation, Efforts and Verification. At all stages of development, improvement, evaluation and performance verification, LeafMon-S sensor parametric data and the resulting CWSI/PWSI values will be collected. Parameters collected:Ambient Temperature.Ambient Humidity.Monitored (i.e., live) leaf temperature.Reference (i.e., dead) leaf temperature.CWSI/PWSI.PAR.Time and Date stamp.User feedback will be analyzed to ensure that the maximum grower benefit (i.e., expended cost and ROI) is attained. Parameters monitored:Initial cost of implementation.Ongoing cost of ownership.Preferred monitoring/reporting periodicity vs crop seasonal growth progression.Realized reduced cost of operations due to LeafMon-S.Recommendations for LeafMon-S unit deployment and positioning within field acreage.Desired performance and feature enhancements.User data and feedback will be used to tune the CWSI/PWSI calculations and to continually improve the LeafMon-S. As additional crop types are monitored and data submitted, the knowledge base detailing acceptable ranges of CWSI/PWSI values throughout the growing season for the specific crop will be added to the CWSI/PWSI Crop Management database. This database will be available to all LeafMon-S users.The primary metrics for successful implementation will be:Irrigation water use reduction.Crop yield impact due to Deficit Irrigation (DI), Low Frequency Deficit Irrigation (LFDI) and Regulated Deficit Irrigation (RDI) implementations.Improved Crop Water Efficiency.Overall plant health, disease resilience, etc, as water use is reduced.Production cost savings.

Progress 09/01/23 to 08/31/24

Outputs
Target Audience:This proposal aims to continue the commercialization efforts of the LeafMon-S system technology previously supported via Phase I Grant12960673 (Award No.: 2020-33610-31947) funding. The LeafMon-S technology is an innovative low cost, non-invasive and non-destructive continuous leaf monitoring system that detects and monitors plant water status in real-time during the entire crop growing season. The resultant information provides the grower with measurable values that assist with irrigation management to save water. This proposal addresses "The Conservation of Natural Resources" Program Topic area 8.4 by directly emphasizing water use efficiency (WUE) and water productivity (WP), and indirectly addresses energy consumption through reduced pumping demand. This technology has the potential to lower irrigation water requirements by as much as 30% when compared to more traditional ET based major orchard and vineyard crop (almonds, walnuts, and grapes) irrigation strategies as well as improving crop sustainability efforts. Specifically, IR sensors are used to simultaneously monitor both an active (i.e., live) and an inactive (i.e., dry or dead) leaf of the crop. Additional sensors within the LeafMon-S sensor suite measure humidity, temperature, full spectrum PAR and ambient temperature conditions. With these parameters, plant performance models perfected by UC Davis are employed to calculate VPD (Vapor Pressure Deficit), and plant water health CWSI (Crop Water Stress Index) and PWSI (Plant Water Status Index) metrics. The LeafMon-S contains an industry standard SDI-12 interface. It connects seamlessly to a grower's existing data acquisition systems thereby permitting the grower to monitor the stress level of his plants or crops with the minimum of additional cost or labor resource investment. The grower retrieves the measured parameters and the calculated indices using either their browser (via Cermetek's AquaMonRSVP web site) or pre-existing third-party PLC datalogger APIs to monitor the health of the plant and manage irrigation demands. A grower then applies the minimum required amount of water to ensure that the resulting CWSI/PWSI value stays within a range specific to each plant type. Moreover, this proposal focuses on reducing the grower's cost of purchase/ownership of the LeafMon-S system as well as commercializing additional products and services designed to broaden market penetration and improve/enhance grower efficiency and profitability. Changes/Problems:The major change that this Phase II program has developed is the reliance and mathematical derivation of Relative RD and its application to the database analysis afforded by the new cloud-based software. Understanding of leaf stress in drought conditions have made these advances possible. What opportunities for training and professional development has the project provided?Crop growers are being trained in the use and operation of the LeafMon-S unit within UC Davis and external to UC Davis in various growing fields. How have the results been disseminated to communities of interest?UC Davis Professor Andre Daccache decided to utilize crops at facilities owned and operated by private sector organizations rather than those operated by UC Davis at the UC Davis Kearney Research Facility (Parlier, CA). Crop plot locations have been identified and secured. All equipment necessary to begin the data collection has been installed as of 15 May 2024 in conjunction with growers at the following locations: Robert Chad, Kishi Brothers Farms, 9250 Walnut Ave, Winton, CA 95388 Jerry Goubert, Jerry Goubert Farms, 625 E Hamilton Rd Westley, CA, 95387 Tony Ott, Ott & Sons Dairy, 2437 Baker Road, Modesto, CA 95358. Mr. Joseph Gallegos, Umida AG, Fresno, CA, a climate smart irrigation integrator, provided access to three separate fields at California State University Fresno (Fresno State), 5241 N Maple Ave, Fresno, CA for Winter cotton, melons, and citrus. What do you plan to do during the next reporting period to accomplish the goals?Methods Product Development and Distribution. Phase 1 - This phase encompasses the various technical improvements and software enhancements required to meet product specific performance goals and objectives. Upon completion of Phase 1, the commercial LeafMon-S will be available for widespread field testing by a variety of data collectors and collaborators. Phase 2 - This phase will involve the sale and installation of the initial production of commercialized products to a few select growers who have used the previous generation LeafMon-S units in the field and are anxious to proliferate the LeafMon-S units in their fields. Phase 3 - In this phase, Cermetek will engage with an identified group of a half dozen independent irrigation communication system manufacturers (i.e., controller manufactures) who would find that our LeafMon-S would enhance their product lines and increase their sales. Phase 4 - Lastly, during phase 4 Cermetek will sell the LeafMon-S units to dealers and distributors of irrigation equipment and various forms of agricultural related communication systems from companies mentioned in Phase 3. Evaluation, Efforts and Verification. At all stages of development, improvement, evaluation and performance verification, LeafMon-S sensor parametric data and the resulting CWSI/PWSI values will be collected. Parameters collected: 1.AmbientTemperature. 2.AmbientHumidity. 3.Monitored(i.e.,live)leaftemperature. 4.Reference(i.e.,dead)leaftemperature. 5.CWSI/PWSI. 6.PAR. 7.TimeandDatestamp. User feedback will be analyzed to ensure that the maximum grower benefit (i.e., expended cost and ROI) is attained. Parameters monitored: 1.Initial cost of implementation. 2.Ongoing cost of ownership. 3.Preferred monitoring/reporting periodicity vs crop seasonal growth progression. 4.Realized reduced cost of operations due to LeafMon-S. 5.Recommendations for LeafMon-S unit deployment and positioning within field acreage. 6.Desired performance and feature enhancements. User data and feedback will be used to tune the CWSI/PWSI calculations and to continually improve the LeafMon-S. This database will be available to all LeafMon-S users. Target Audience Cermetek believes that its identified approach of engaging and enabling dealers and partner manufacturers of ag systems would effectively and speedily gain market share in the agricultural market. Growers of all demographics and acreages will benefit from usage of the LeafMon-S products. It is anticipated that savings in water pumping charges and water consumption will significantly off-set the costs of LeafMon-S purchase(s) and installation/integration/ownership. Products The LeafMon-S and associated products and services are focused on agricultural applications. The initial products: 1.LeafMon-S units (sales, leasing and servicing). 2.AquaMon Hub/Datalogger PLCs (sales, leasing and servicing). 3.AquaMonRSVP website subscriptions. Activities. Sell initial commercialized products to a few select growers who have already used previous generation LeafMon-S units in the field. The initial growers which show commercial promise are those growing walnuts, almonds, grapes and pistachios in California as well as those growers implementing Deficit Irrigation (DI), Low Frequency Deficit Irrigation (LFDI) and Regulated Deficit Irrigation (RDI). They would verify the usefulness, robustness, and effectiveness of the LeafMon-S system. Data will be analyzed by Cermetek's team and collaborators. Discussion of results will include analysis, field crop and installation surveys, assessments functionality and efficacy as well as on-site training and mentoring of distribution network field application technical staff. Events. Will actively participate in UC Davis sponsored conferences, demonstrations at UC Davis Nickels Soil Lab (located in Arbuckle, CA), various industry/crop specific symposia (e.g., Almond Growers Association) and field days, Ag workshops (e.g., Ag-Expo and International Agri-Center, Tulare, CA), and training of growers and distribution centers. Services. Installation to be provided by Cermetek Staff (if requested) as well as on-site training and mentoring of distribution network field application technical staff. Support user's integration of existing controllers and controller specific commands with LeafMon-S to access SDI-12 data stream. New Product Support. New product introduction: LeafMon-S, AquaMon Hub/DataLogger PLC, and AquaMonRSVP web site. Various user manuals, installation guides to be provided to facilitate installation and usage. Web based support for applications utilizing Cermetek's AquaMonRSVP including on-line tutorials, extensive application examples with installation guidelines. Sample data analysis for select crops; suggested equipment to augment installation (e.g., actuators, soil moisture sensors). Sales and support for new and existing businesses. Expected Outcomes 1.Increased Water Use Efficiency (WUE) and Water Productivity (WP), decrease in water consumption. 2.Improved accuracy of CSWI/PWSI metrics. 3.Reduced manufacturing costs. 4.Reduced grower retail price. 5.Reduced grower cost of installation and ownership. 6.Increased market for LeafMon-S product and associated services (AquaMonHub, AquaMonRSVP website) 7.Increased field usage and profit margins. 8.Identified acreage of over 5 million acres in the target crops of almonds, walnuts and grapes in California alone. 9.Grower ROI 2-3 years after installation through the savings in water usage, labor costs, and increased crop yields. 10.Cermetek anticipates an average of 3 LeafMon-S units per irrigation zone or 5 LeafMon-S units per 40 acre plot if irrigation zones are not used. 11.At average revenue of $370/unit for a market size (CA only) of 125,000 units, translates to $46.3 million in gross sales. With only 30% market share, $13.8 million in gross sales from CA alone. All this while reducing water consumption and enabling growers to maximize crop water efficiency. Keywords Acclimatization. ~CWSI ~Leaf Monitor ~PWSI ~Plant Water Status ~Precision Irrigation ~LeafMon ~Crop Water Stress ~Water Use Efficiency (WUE) ~LeafMon-S ~Water Productivity (WP) ~Water Conservation ~Sustainability

Impacts
What was accomplished under these goals? Objective 1: In Phase I LeafMon-S implementations, a PRIME DR (Dynamic Ratio defined as Differential Temperature/Vapor Pressure Deficit) value was computed based on the timing of watering events and used, in turn, to compute a REFERENCE DR value. Relativeplant saturation (i.e., relative to the most recent water event) was deemed to be a more realistic measure of plant performance post-watering event. It has been determined that the time a plant reached a relative watering event saturation maximum (i.e., when to select PRIME DR) could be formulated mathematically. Phase II PRIME DR and REFERENCE DR algorithms are based on the following results: A local peak in the AVERAGE DR curve following a previous POSITIVE slopetypicallyoccurs at a local maximum plant saturation (i.e.,relativeplant saturation) condition. A POSITIVE slopefollowing a local troughtypicallyindicates the start of the plant's reaction to a watering event. Plant water/drought stress acclimation processes have a noticeable effect on the PWSI metric. REFERENCE DR must be recomputed after every significant irrigation event to accommodate this change in the plant's internal saturation baseline. By computing an updated REFERENCE DR, LeafMon-S isrecalibratingthe PWSI metric range to more accurately reflect the amount of water stress the plant is experiencing relative to its current internal water stress baseline. When PWSI >1.0, by definition, an individual DR value exceeds the PRIME DR value. In this case, PRIME DR is recalculated using methodologies developed in Phase II and referred to as theRefined DR Pivot Algorithm. These methods determine PRIME DR by calculating the first and second order derivatives of the family of individual DR values associated with each Metric Dataset value during the hours of 8:00 to 22:00 (inclusive) for a given day. PWSI is then calculated using the new PRIME DR. In summary, the principal advantages of theRefined DR Pivot Algorithmdeveloped in Phase II: An irrigation watering event flow sensor and/or a soil moisture sensor is not required. Elimination of the need for growers to input - and adhere to - pre-planned irrigation schedules. PRIME DR recalculation by manual intervention eliminated. Objective 2: Items 1-10 Accomplishments.All objectives are in progress during the current growing season or have been completed. Objective 3: Item 2 Accomplishments.Active (Live) Leaf standoff height reduced from 1.6 in to 0.9 in. Application verification testing indicated that the Inactive (Dead) Leaf Standoff height did not require reduction. Objective 3: Item 3 Accomplishments.Cermetek's 3D printerwas utilized to produce quick turn Upper/Lower Domes, Collar, IR Leaf Standoffs and the Internal Electronics Module Enclosure. Objective 3: Item 4 Accomplishments.A redesign of the Internal Electronics Module Enclosure wassuccessfully completed. Objective 3: Item 4.1-4.2 Accomplishments.Internal Electronics Module redesigned completed. Objective 3: Item 4.3 Accomplishments.Internal Electronics Enclosure wiring harness lengthening has been successfully completed. Objective 3: Item 5.1-5.2 Accomplishments.CWSI/PWSI calculation algorithms have been successfully completed and verified. Objective 4: Item 1.1-1.6 Accomplishments.Contracted with a US OEM manufacturer (Howe Neat, Inc, 7672 Avianca Dr, Ste D-40, Redding, CA) to modify an existing PLC controller offering to meet Cermetek's AquaMon Hub requirements. All goals have been met or exceeded. Objective 4: Item 2.1-2.2, 3.1-3.2 Accomplishments.Dataset pre-process algorithms developed, demonstrated and verified to identify and remove/replace LeafMon-S datasets containing missing, garbled, erroneous data, and inconsistent time/date stamps with valid data sets. Algorithms were then validated using archived growing season 2021 Phase I almond datasets (Joseph Gallegos, Umida AG, Fresno, CA) collected using third party PLCs provided by GroPoint, Model GP-BTDL. Objective 4: Item 3.3 Accomplishments.Multiple y-axis successfully completed by developing MS EXCEL©Macros available to each grower via download from the Cermetek AquaMon website. Objective 4: Item 4.1-4.2 Accomplishments.Preliminary database, archive and user website created. Third Party raw data + pre-processed data preserved. Conditioning software completed to ensure compatibility with existing AquaMonRSVP database. A look-up table has been created that contains third party specific configuration parameters that are utilized by the software algorithms to convert third party PLC datasets to Cermetek's AquaMonRSVP database configuration.

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