2024
Site-specific weed management with precision application technology
Category:
Sustainable Production
Keywords:
Data ManagementDrone/UAS
Lead Principal Investigator:
Chris Proctor, University of Nebraska at Lincoln
Co-Principal Investigators:
Anita Dille, Kansas State University
Rodrigo Werle, University of Wisconsin - Madison
+1 More
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
This proposal is for a second year of continued funding (FY24). The project from year one (FY23) is being implemented during the 2023 growing season.

Herbicides are the primary tool used for weed management in soybean (USDA – National Agricultural Statistics Service). Difficult to manage weeds (pigweed species, ragweed species, foxtail species, common lambsquarters, kochia, horseweeed, etc.) as well as herbicide-resistant populations for many of these weeds have been selected over time across North Central US soybean cropping systems. Increasing herbicide costs and environmental concerns have only added to management challenges. Current herbicide application practices focus on broadcast...
Unique Keywords:
#technology
Information And Results
Project Summary

This proposal is for a second year of continued funding (FY24). The project from year one (FY23) is being implemented during the 2023 growing season.

Herbicides are the primary tool used for weed management in soybean (USDA – National Agricultural Statistics Service). Difficult to manage weeds (pigweed species, ragweed species, foxtail species, common lambsquarters, kochia, horseweeed, etc.) as well as herbicide-resistant populations for many of these weeds have been selected over time across North Central US soybean cropping systems. Increasing herbicide costs and environmental concerns have only added to management challenges. Current herbicide application practices focus on broadcast applications that deliver a constant herbicide rate across an entire field. However, weed populations have great spatial variability that is influenced by factors such as weed species biology, soil type, crop rotation, and tillage and harvest practices. Previous research has evaluated site-specific weed management (SSWM) using weed species distribution maps and site-specific herbicide applications resulting in herbicide savings ranging from 23 to 89% (Gerhards et al., 2022). Despite the potential economic and environmental benefits with SSWM, current technologies have not been able to achieve this on a field scale. With recent improvements and integration of active sensors and sprayer technologies, the ability to detect and treat weeds on a real-time site-specific basis should soon become feasible. Several companies are developing smart sprayers with the ability to detect and spray weeds in real-time both in fallow (green on brown) and early-season in crop (green on green). This technology has potential to shift from broadcast herbicide applications that deliver a constant herbicide rate across an entire field to only treating parts of the field where weeds occur. This could further improve herbicide efficacy as herbicide doses could be adjusted based on weed size and weed species as detection technology improves for species identification, potentially reducing overall herbicide cost and use. This system has potential to improve weed management in soybean using technology driven SSWM.
The long-term goal of this research project is to optimize herbicide applications with a smart sprayer system in the US to stimulate the adoption of precision agriculture tools for more sustainable weed management programs.

Our research team has the skills and research equipment related to weed management and pesticide application technology to successfully complete this project. The second year of the research project (FY24) will be conducted at the University of Wisconsin-Madison (Werle), University of Nebraska-Lincoln (Proctor), Kansas State University (Dille), and the BASF Midwest Research Farm near Seymour, IL (Miller/Werle). The project collaborators have a well-established partnership with BASF (Dr. Bruno Vieira, Kalvin Miller et al.) enabling access to a small plot (mobile 10-ft tractor mounted) and large-scale sprayers (60-ft boom, located in NE) equipped with the BASF-Bosch Smart Spraying Technology. These four research sites are located in strategic soybean producing regions of the United States. Moreover, these research sites are infested with the most common and troublesome weeds that North Central US soybean growers are facing (pigweed species, ragweed species, foxtail species, common lambsquarters, kochia, horseweed, etc.). While the BASF-Bosch Smart Spraying technology will be used, inferences from this project could be applied to other similar technologies such as the John Deere-Blue River and the Greeneye sprayer systems.

This project will evaluate different configurations of site-specific herbicide applications to control weed infestations in soybean using preemergence and postemergence herbicide programs. Studies will test the BASF-Bosch Smart Spraying Technology with large-scale (studies with >40 acres) field projects in NE and small plot projects in IL, KS and WI to evaluate weed detection, targeted spray deposition, weed control, end-of season weed seed production, reduction in herbicide usage for spot-spray compared to broadcast herbicide applications, nozzle selection (broadcast vs even nozzles), target area optimization (1 vs 3 nozzle spot spray area), and soybean yield.
Multiple years are planned to be able to follow weed community response to spot-spray applications under a soybean-corn rotation with each phase of the rotation planted and evaluated each year. Plots will be established, maintained, and evaluated for multiple years with same treatments applied to each plot through time. This proposal will support a second year of funding from NCSRP but would be year 3 of a multi-year study.

A range of treatments will be evaluated in small- and large-plot studies in 2023 and are proposed to repeat for a second year in 2024.
In 2023 Werle's lab will have 2 studies with the small plot smart sprayer at Seymour IL to evaluate herbicide program efficacy. In addition, 2 studies replicated at 2 locations in WI will evaluate the effects of weed control from different nozzle types (broadcast vs even) and spot spray areas (1 vs 3 nozzles). Another study in WI will evaluate spray coverage with different spot spray nozzles and boom height configurations.
Dr Dille’s lab at KSU will have two soybean studies in 2023, one is a repeat of a trial initiated in 2022 and one is a new study evaluating spot-spray programs with different rate structures. These trials will be conducted in KS and IL on both soybean and corn.

In 2023, Dr. Proctors lab will conduct a greenhouse trial evaluating the effect of different herbicide doses across a range of weed sized to simulate different spot spraying scenarios. They will also conduct a series of spray chamber trials evaluating spray patterns of different nozzle configurations that might be utilized on a spot sprayer. Finally, they will conduct field trials evaluating weed control using different broadcast and spot spray rates and chemistries to help develop soybean and corn herbicide program recommendations with spot sprayer technologies.
There is evidence of economic gains when optimizing herbicide weed control through increased weed control efficacy and reduced herbicide load (>70% reduction) in the field and environment using smart-sprayer technologies (Zanin et al., 2022; Ruigrok et al., 2020). Knowing that weed populations most often occur in patches throughout the field highlights the opportunity to target weed control to those locations. With the newer technologies including multiple booms and tanks, we can ensure that weeds are not missed by using broadcast applications from one boom while spot spraying when weeds are detected by the sensors. Through this research, we can explore and demonstrate how to optimize efficacy of troublesome weed species occurring in soybean fields across the North Central region.

In the future, optimizing the smart-sprayer technology with other integrated weed management approaches, such as using diverse crop rotations, including cover crops, changing row spacing and planting populations, and applying multiple effective herbicide sites of action together with sensor-based weed identification, we can demonstrate at the field scale the potential economic gains for soybean farmers.

Project Objectives

Objectives: 1) Test preemergence and postemergence spot-spray herbicide program concepts in soybean and 2) evaluate and demonstrate the efficacy of the BASF Digital Farming GmbH (BASF) and Robert Bosch GmbH (Bosch) Smart Sprayer™

Project Deliverables

• Technical Extension bulletins produced for growers and decision influencers.
• Several young professionals will be trained on this novel technology while supporting the research; they will soon join the workforce and be an influencer for adopting such technology.
• Field day demonstrations for soybean growers – especially targeted for North Central soybean checkoff members.
• Social media posts highlighting in-season equipment demonstrations.
• Multiple refereed journal articles, conference presentations, and proceedings will be developed with the project findings.
• Conference papers will be presented at professional meetings (e.g., North Central Weed Science Society, Weed Science Society of America) to discuss the study methods and research findings.
• Manuscripts will be published in scientific journals (e.g., Pest Management Science, Weed Technology).

Progress Of Work

Update:
2024 NCSRP Progress Report
Planning for the 2024 growing season was conducted from October 2023 to April 2024.
During the 2024 growing season, Dr. Werle’s lab intend to replicate the experiments evaluating the role of nozzle type, number, and height for spot spray technologies. They also intend to replicate the experiments evaluating the impact of spot spray application time (different crop and weed stages) and modality (one tank versus two tank, with and without layered residual herbicides) on control of Amaranthus species in soybean. Novel experiments to be established in 2024 and replicated in 2025 will evaluate the role of chemical program selection and weed detection thresholds for weed control with spot spray technologies in soybean cropping systems. A graduate student (Zaim Ugljic) and a research scholar (TBD) will be 100% focused on these projects during the 2024 growing season. New in 2024, the team intends to take drone imagery from these research trials as part of their data collection process.
At Kansas State University, we wrapped up the soybean field trial conducted during 2023. Five different herbicide programs were evaluated using the BOSCH BASF Smart Sprayer technology. Results from the two years of experimentation (2022 and 2023) were summarized and prepared as part of a PhD dissertation chapter (Barnhart 2024). In general, the two-pass programs that include broadcast applications of soil-applied herbicide and targeted herbicide applications at both the burndown (green-on-brown) and in-crop postemergence (green-on-green) treatments provided consistent and excellent weed control in soybean. This was in contrast to one-pass programs with only targeted herbicide applications that did not provide season-long weed control benefits.
For 2024 experiments, the herbicide programs will be repeated on the same field site and plots as in 2022 (in a rotation sequence with corn) to evaluate the long-term impact of using smart sprayer technology on weed population dynamics in the field. Additional data to track the influence of programs on weed communities include spatial soil seedbank sampling and seedling emergence, drone imagery of populations across the field site, and end-of-season weed biomass and seed production.
At KSU, one PhD graduate student and one undergraduate research scholar worked on the field project during the summer of 2023. A new research scholar will start May 2024 to work on this field study and will transition to an MS student in Jan 2025 to continue the project in the future.

EXTENSION PRESENTATIONS
Crop Protection Netwok: See & Spray Technologies Webinar: https://www.youtube.com/watch?v=R3Dgx8fDp0w
Ohio State University Weed Scholar: See & Spray Precision Herbicide Applications Technologies Webinar: https://www.youtube.com/watch?v=LuEtcTxoVok&t=1s

INVITED PRESENTATIONS (CLASSROOM & SYMPOSIUM)
Barnhart IH, Kruger G, Miller K, Proctor C, Werle R, Dille JA (2023) Evaluating the One Smart Sprayer® in Midwestern United States corn and soybean cropping systems. Agronomy Departmental Seminar (AGRON 810), Kansas State University, Manhattan, KS (November 2023).
Barnhart IH (Presenter, PhD student), Dille JA (2023) Evaluating the One Smart Sprayer® Smart Sprayer ™ in Midwestern United States corn and soybean cropping systems. DA3: Digital Ag and Advanced Analytics Symposium, Manhattan, KS (October 2023)
Barnhart IH (2024) Use of artificial intelligence to locate and treat weeds in Midwestern United States corn (Zea mays) and soybean (Glycine max) cropping systems. PhD Dissertation, Kansas State University, Manhattan, KS (presentation, April 5, 2024)
Ugljic, Z., R.P. DeWerff, A. Dille, C. Proctor, K. Miller, R. Werle. 2023. See smart – spray smart! Quantifying the relationship between weed infestation and treated area with the ONE Smart Spray system and Xarvio’s Field Manager. University of Wisconsin-Madison, Department of Plant and Agroecosystem Sciences graduate student seminar.

PROFESSIONAL MEETING ABSTRACTS
Barnhart, I. (Presenter, PhD student), Miller, K., Kruger, G., Proctor, C., Vitti, T. H., Dille, A. (2023). Targeted Precision Weed Control Using the One Smart SprayerTM in Soybeans. North Central Weed Science Society Annual Meeting, Minneapolis, Minnesota (December 2023).
Krabbenborg, D. J. (Presenter, Undergrad student), Vitti, T. H., Proctor, C. (2023). Evaluating the Impact of Tank-mix Antagonism and Spray Nozzle Incompatibility with a Two-boom Two-tank Application System on Weed Control Efficacy. North Central Weed Science Society Annual Meeting, Minneapolis, Minnesota (December 2023).
Ugljic, Z., B. Canella Vieira, R.P. DeWerff, and R. Werle. 2024. Smart sprayer applications: Role of nozzle type, number, and height. Proceedings of the Weed Science Society of America Annual Meetings, San Antonio, TX.
Ugljic, Z., R.P. DeWerff, B. Canella Vieira, and R. Werle. 2023. More is less or less is more? Evaluating the influence of nozzle number and type for novel spot spray technologies. Proceedings of the North Central Weed Science Society Annual Meetings, Minneapolis, MN.
Ugljic, Z., R.P. DeWerff, N.J. Arneson, A. Dille, C. Proctor, K. Miller, R. Werle. 2023. See smart – spray smart! Quantifying the relationship between weed infestation and treated area with the ONE Smart Spray system and Xarvio’s Field Manager. Proceedings of the North Central Weed Science Society Annual Meetings, Minneapolis, MN.
Vitti, T.H. (Presenter, MS student), Canela Vieira, B., Kruger, G.R., Lawrence, N., Proctor, C. (2023). The effect of weed size and application rate on control of different herbicides and weed species. NCWSS Annual Meeting, Minneapolis, MN. (December 2023)

Final Project Results

Updated November 8, 2024:
Update for the 2024 growing season conducted from April to October 2024.
Wisconsin
During the 2024 growing season, graduate research assistant Zaim Ugljic in Dr. Werle’s lab replicated the experiments also conducted in 2023.
Studies were conducted Seymour, IL and Janesville, WI evaluating the role of nozzle type, number, and boom height for targeted application technologies. The team also replicated experiments evaluating the impact of targeted application technologies at different growth stages with different spraying modalities with and without residual herbicides for control of Amaranthus species in soybeans. Herbicide savings were evaluated as a part of these experiments. Study objectives were to compare POST weed control across traditional broadcast application, spot spray application only of foliar herbicides or foliar and layered residual herbicide, and spot spray of foliar herbicides with broadcast application of a layered residual herbicide through the 2-boom 2-tank system at two different application times (early versus late). Application time “early” was triggered when soybeans were at V2 growth stage and “late” when soybeans were at V4 growth stage. The studies were arranged in a randomized complete block design with four replications. All treatments received a broadcast PRE herbicide application of saflufenacil 24 g ai ha-1 + dimethenamid-P 215 g ai ha-1 and were treated with glufosinate 655 g ai ha-1 + glyphosate 1,551 g ha-1 and + or - S-metolachlor 734 g ai ha-1 POST according to the respective treatment modality (i.e., broadcast, spot spray, 2-tank 2-boom system). Visual weed control and biomass data were collected 28 days after the late application timing. In 2023, results from Seymour, IL showed that the late application timing provided better weed control (>88%) but lower herbicide savings (26%). For the early POST application where higher savings of foliar herbicides was detected (76%), the addition of a layered residual herbicide was necessary to provided more effective control (89-92%). In 2024, with low weed pressure at Seymour, IL there was no difference in weed control (>95%) and herbicide savings (>67%) between application timings. However, under incredibly high weed pressure in Janesville 2024, the highest levels of weed control was 89%, regardless of modality, and savings were incredibly low (2%); an additional POST herbicide application would have been necessary for effective (>90%) end of season weed control. Our results suggest that the late applications provided more effective weed control, assuming effective foliar herbicides are available. Early applications with residual herbicides offered greater savings opportunities for foliar herbicides. Our results indicate that the benefits of targeted application technology are most visible in fields with low to intermediate weed pressure treated with an effective PRE herbicide program. In scenarios with high weed pressure, a broadcast application may be a more effective option.
Additional studies in collaboration with BASF Xarvio’s team were conducted in Wisconsin (Arlington and Janesville) and Seymour IL, where different weed detection thresholds in combination with different herbicide programs in corn and soybean cropping systems were evaluated. The objectives of this research were to investigate the role of nozzle type, number of nozzles triggered upon weed detection, and boom height on spray deposition and weed control. The weed control study was conducted in 2023 and 2024 at two Wisconsin locations, Arlington (ARL) and Janesville (ROK). A complementary study to investigate spray coverage was conducted at ARL over two years. The studies were conducted as 2x2x2 factorial experiment, including additional weedy checks for the weed control study. A three-nozzle boom (CO2 pressurized and calibrated to deliver 140 l/ha with nozzles positioned 38 cm apart) mounted on a bicycle wheel was built to conduct this research. Two different nozzle types with similar droplet size classification were selected: flat fan nozzle (TeeJet DG 80015) and even flat fan nozzle (TeeJet TP40015E). Nozzles were evaluated at two different boom heights: 53 cm from the target, which represents the ideal field scenario for the selected nozzle spacing, versus 76 cm from the target simulating boom sway. Lastly, the efficacy of one versus three nozzles activation was compared. Treatments received glufosinate POST (656 g ai ha-1 as the target rate) and application occurred when soybeans were at V4 growth stage and weeds were ~10 cm in height. Biomass samples were collected 14 days after treatment (DAT). Ambrosia artemisiifolia was the target weed at ARL and A. trifida at ROK. Three sub-samples were obtained from the middle row where simulated target weeds were present. According to our results, the activation of three nozzles, regardless of their type or height, provided better spray coverage (36-44%) and more effective weed control (>95%) across treatments within the target area. When only one flat fan nozzle was activated at the ideal target height (53 cm) it provided 89% control in the target area and 22% spray coverage whereas the higher boom treatment resulted in lower weed control (76%) and lower spray coverage (12%). Similarly, when a single even fan nozzle was activated at ideal target height (53 cm) it provided 92% control in the target area and 32% spray coverage, but the higher boom treatment resulted in lower weed control of 86% and 27% spray coverage. For single nozzle activation, the even fan nozzle provided better weed control and spray coverage than the flat fan nozzle. Activation of multiple nozzles upon weed detection may be necessary to achieve adequate spray coverage and effective weed control with smart sprayers, regardless of nozzle type or boom height.
In 2024, aerial images with DJI Phantom 3m drone were collected from all Wisconsin trials. All data are currently being processed and final results will be shared with soybean growers and academics during the winter conferences.
Kansas
In Kansas, during the April to October 2024 growing season, visiting scholar – Joaquin Enrria in Dr. Anita Dille’s weed ecology lab, conducted ONE SMART SPRAY (A joint venture of Bosch and BASF) sprayer studies for the third year on the soybean field located at the KSU Department of Agronomy Ashland Bottoms Research Farm. The overall goal has been to evaluate five different herbicide application programs placed on the same plots, now for the third year, in a no-till soybean-corn rotation field.
The application scenarios compared one- and two-pass programs, some including soil-residual herbicides in tandem with foliar-applied herbicides {either burndown green-on-brown (GOB); or postemergence green-on-green (GOG)}, and compared weed detection thresholds for targeted spraying as compared to broadcast treatments. We evaluated a one-pass residual-at-plant program that included a burndown (GOB), as well as a two-pass residual-at-plant program that had both GOB and GOG passes. Other application programs included a two-pass overlapping residual GOB and GOG program, a ‘spike’ program that included both a broadcast foliar-application as well as GOG when a weed was detected, and a targeted spray with GOB and GOG applications only.
The Research Farm received critical rainfall amounts starting in mid-April, which delayed soybean planting to early June. As the treatments were to be applied at-planting, many summer annual weed species had emerged and grown prior to burndown and residual herbicide applications. As a result, overall savings as measured by reduced herbicide amounts was not observed. Another challenge emerged in that the Palmer amaranth populations were resistant to some degree to several of the herbicide products used in the different passes. Follow-up GOG applications as part of the programs had greater savings with use of weed detection thresholds.
Overall, in northeast Kansas’ soybean production systems, it is still very critical for timely burndown and residual herbicide applications for suppressing Palmer amaranth and other summer annual grass populations to give soybean a successful start. Targeted spraying did reduce total herbicide used, thus savings, but selection of appropriate herbicide tools is also an important decision that needs to continually be updated.
We also conducted on-farm studies near Clay Center, KS, to explore impact of winter wheat stubble height and double-crop soybean situations on ability of the ONE SMART SPRAY sprayer to detect weeds and to compare a typical Farmer weed control program to a ‘premium’ program.
Nebraska
In Nebraska, research involved laboratory and greenhouse studies to investigate the coverage and coefficient of variation (CV) of even flat-fan spray nozzles under different spot-spray application scenarios, as well as the effect of weed size and application method on the control of various weed species using a pulse width modulation system to control herbicide rate. Adjusting the nozzle angle from 0° to 30° rearward resulted in a mean reduction of 7% in spray coverage for both AI6502E and TP6502E nozzles. This adjustmen t also led to a 6% decrease in CV for the AI6502E nozzle, while it had no impact on the TP6502E nozzle CV. Additionally, a 25% average increase in CV was observed when the boom height was reduced from 75 cm to 25 cm. Greenhouse research revealed that weeds exhibited high sensitivity to 2,4-D, dicamba, and clethodim, regardless of weed size and application method. In contrast, glyphosate and glufosinate provided superior control when applied at early growth stages, underscoring the importance of early postemergence herbicide management for these herbicides in variable-rate applications. The research findings from both studies enhance our understanding of how various application parameters can influence spot-spray operations and the sensitivity of weeds to different herbicides at different growth stages. This knowledge is crucial for establishing effective herbicide variable-rate strategies, optimizing weed control, and minimizing herbicide use.
2024 EXTENSION PRESENTATIONS
WiscWeeds Giant Ragweed Field Day – Janesville, WI – July 2024 (100 participants)
WiscWeeds Waterhemp Field Day – Brooklyn, WI – August 2024 (80 participants)
Wisconsin Extension Weed Science Workshop – Alington, WI – September 2024 (80 participants)
Ottawa County KS Conservation District - 3rd Annual field day – Joshua Lloyd’s farm – Joaquin Enrria, August 1, 2024
On-farm field day presentations, Joshua Lloyd’s farm – Joaquin Enrria and Anita Dille, - October 16, 2024


2024 PROFESSIONAL MEETING ABSTRACTS
Rodrigo Werle, Zaim Ugljic (2024) – Smart sprayer design and operation for improved weed management in corn-soybean production systems in the United States – XXXIII Congresso Brasileiro da Ciência das Plantas Daninhas – Brazilian Weed Science Society Meeting – Brazil (August 2024)
Zaim Ugljic, Rodrigo Werle (2024) Targeted sprayer design and operation: Translating spray quality to herbicide efficacy – American Chemical Society, Denver (August 2024)
Rodrigo Werle, Zaim Ugljic (2024) – Smart Sprayer Design and Operation for Improved Weed Management in Corn-Soybean Production Systems in the US – CPDA Meeting, Phoenix, AZ (April 2024)
Zaim Ugljic, Ryan DeWerff, Maxwel Oliveira, Kalvin Miller, Rodrigo Werle (2024) – Do postemergence herbicide application timing and strategy impact weed control and foliar herbicide savings when using targeted application technologies? – NCWSS Meeting, Kansas City, MO (December 2024)
Zaim Ugljic, Ryan DeWerff, Rodrigo Werle – The Impact of Spray Coverage on Weed Control When using Novel Targeted Herbicide Application Technologies – NCWSS Meeting, Kansas City, MO (December 2024)
Joaquin Enrria, Maxwel Oliveira, Alicia Montoya, Cheyanne Macagno, Anita Dille (2024) Evaluation of Weed Management Programs using the ONE SMART SPRY in corn and soybean in Kansas.
Publications:
Barnhart IH (2024) Use of artificial intelligence to locate and treat weds in Midwestern United States corn (Zea mays) and soybean (Glycine max) cropping systems. PhD Dissertation, Kansas State University. https://hdl.handle.net/2097/44344
Vitti, T (2024) Assessing even flat-fan nozzles for spot spray herbicide applications. MS Thesis, University of Nebraska Lincoln. https://digitalcommons.unl.edu/agronhortdiss/264/

2024 NCSRP Final Project Summary:
The project was conducted across several research sites in key soybean-growing areas, including Wisconsin, Illinois, Kansas, and Nebraska. These sites include large-scale trials with plots over 40 acres, as well as smaller, more controlled studies. Researchers tested different nozzle types, spray configurations, and herbicide application methods to optimize weed control and herbicide savings. The BASF-Bosch Smart Sprayer™ is a key tool in this project, as it allows for real-time, site-specific weed management, potentially reducing herbicide use while increasing control over challenging weed species like pigweed, ragweed, and horseweed.
This multi-year study also analyzed the long-term impact of targeted spraying on weed populations and soybean yield, particularly within a soybean-corn rotation. By exploring and demonstrating the potential of precision weed management tools, the research aim was to encourage broader adoption of sustainable practices that can reduce costs and environmental impact while improving weed management outcomes. Integrating this technology with other sustainable approaches, such as crop rotation and cover crops, could further increase the economic benefits for soybean farmers in the North Central US.
The work sponsored by NCSRP in 2023 and 2024 focused on ongoing university-led research on "smart sprayer" technology, which aims to make herbicide application more precise and efficient for farmers by using targeted spraying technology that only apply herbicides where weeds are detected. This research is led by teams at the University of Wisconsin-Madison, Kansas State University, and the University of Nebraska-Lincoln, with each focusing on specific aspects of smart spraying.

2023 Findings:
1. Kansas (Small Plot Sprayer):
o Combining herbicides that stay active in the soil (residual herbicides) with targeted foliar sprays provided weed control that was as effective as traditional broadcast spraying but at a lower cost.
2. Nebraska (Large Sprayer Studies):
o Study 1 (Combination of Broadcast and Spot Spray): In soybean fields, using a mix of high-rate broadcast spraying and low-rate spot spraying reduced weed density significantly after six weeks.
o Study 2 (Application Timing in Soybeans): Spraying during the V3 growth stage was most effective at controlling weeds, especially smaller weeds that may be hard to detect when crops reach later growth stages.
3. Wisconsin (Spot vs. Broadcast Spraying):
o Four experiments tested how spot spraying (targeting weeds directly) and broadcast spraying (covering the entire area) worked at different stages of soybean growth. Earlier applications resulted in higher savings of POST foliar herbicides but required a broadcast layered residual herbicide for season-long weed control. Later applications resulted in lower savings. The technology is most effective in fields with low to moderate weed pressure, but its advantages diminish in fields with high weed pressure.
o They also looked at how nozzle settings (like the number of nozzles activated upon weed detection, nozzle type, and nozzle height) affected the coverage and effectiveness of the spray. Activation of multiple nozzles resulted in more consistent spray coverage and weed control.
Outreach & Engagement:
• The findings were shared at various field days, webinars, and podcasts, reaching over a thousand people. This allowed farmers and industry professionals to learn about the benefits of these novel technologies.
Summary of 2023:
Studies showed that combining residual herbicides with precision spot spraying during the right crop growth stages is an effective way to manage weeds while saving on herbicides. This approach can also reduce environmental impacts by using less chemical input.

2024 Findings:
In 2024, the research continued in Wisconsin, Kansas, and Nebraska with a focus on improving herbicide application methods:
1. Wisconsin:
o Researchers repeated the 2023 experiments and tested how different spray nozzle types and settings affected weed control. They found that later spraying worked better in areas with high weed pressure, while early applications with residual herbicides were better for saving on herbicide use in areas with low weed pressure.
2. Kansas:
o In Kansas, research on the BOSCH-BASF ONE SMART SPRAY system continued. This system uses smart technology to target weeds specifically, reducing herbicide use. The study found that timely herbicide applications were crucial, and targeted sprays (when the system correctly detects weeds) reduced herbicide use. Research also looked at how factors like the height of winter wheat stubble affected weed detection.
3. Nebraska:
o In Nebraska, nozzle performance was tested in labs and greenhouses. Adjustments to the angle and height of nozzles showed that activating multiple nozzles improved spray coverage. Early herbicide application was also found to be most effective in controlling certain weed species.
Outreach & Engagement:
• Findings were shared again at field days and presented at international conferences to educate farmers about the benefits of targeted spraying technology.
Summary of 2024:
The research shows that precision spraying technologies work best in areas with low-to-moderate weed pressure, as they allow farmers to save herbicides and reduce costs. However, traditional spraying methods may still be better in areas with high weed pressure. These ongoing studies help refine the technology and ensure it supports sustainable, cost-effective farming practices.
Both years demonstrated that precision spraying technologies can significantly reduce herbicide use in low-to-moderate weed pressure areas, while traditional methods may still be more effective in fields with high-weed density. These findings may help farmers improve sustainability by using fewer chemicals, improving efficiency, and supporting eco-friendly farming practices.

Benefit To Soybean Farmers

This project will:
-Evaluate new weed management smart sprayer technology that may improve control of hard to manage/resistant weeds, reduce herbicide use/cost
-Investigate smart sprayer technology to determine how it might most effectively be utilized for managing weeds in soybean
-Provide insight into the potential return on investment of new smart sprayer technology

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.