Enhancing Agricultural Efficiency with Precision Spot Spraying

Introduction

Precision spot spraying has emerged as a promising solution in enhancing agricultural efficiency. This case study explores the application of spot spraying in winter wheat fields, focusing on its ability to identify weeds in “green on green” scenarios and the financial savings it can offer over traditional flat spraying methods.

Objectives

The primary objectives of this study were to: 

  • Demonstrate the ability to identify weeds in “green on green” scenarios.
  • Quantify the financial savings achieved by adopting spot spraying over traditional flat spraying methods.

Hypotheses 

The study was based on the following hypotheses:

  • Weed Identification: Canola (broadleaf weeds) can be identified in a Winter Wheat field during the growing phase.
  • Cost Savings: Spot spraying can significantly reduce herbicide costs compared to traditional flat spraying.
  • Accuracy: There is minimal difference between the prescribed treatment amount, that user create by Agremo’s Spraying tool, and the actual herbicide consumption in the field.
  • Effectiveness: Herbicide treatment remains effective because Agremo AI can shorten the gap between mapping and spraying.
  • Adoption: Demonstrating the benefits of spot spraying will encourage widespread adoption among efficiency-focused and profit-driven farmers.

Project Overview 

The study took place on a Winter Wheat field in Subotica, Serbia. The field, spanning 2.15 hectares, was sown on October 20, 2023, and was in the BBCH 32 phase (stem elongation) during the study. The weed under observation was Canola (broadleaf weeds). The mapping occurred on March 30, 2024, and the spot spraying happened on April 11, 2024. Unfavorable weather conditions forced us to postpone the spraying, even though everything was technically ready for the next day.

Equipment and Methodology 

The team used a DJI Mavic 3M drone for mapping and a DJI T30 drone for spraying.

The mapping drone connected to a DJI RTK station. Mapping and prescription map creation were completed on March 30, 2024, followed by spot spraying and analysis on April 11, 2024. This case study was conducted in cooperation with Ag Dron Company.

Results 

The study confirmed the ability to identify weeds in “green on green” scenarios. It also showed a significant reduction in herbicide costs with spot spraying. The total herbicide usage was 15.89 liters, resulting in a total herbicide savings of 63%.

Environmental Benefits 

Spot spraying offers several environmental benefits:

Reduced Chemical Usage: Spot spraying targets only the weeds, significantly reducing the amount of herbicides used. This conserves resources and minimizes the exposure of non-target plants and soil to chemicals and prevent herbicide resistance.

Minimized Environmental Impact: Using fewer chemicals reduces the risk of chemical runoff into nearby water bodies, protecting aquatic ecosystems from potential harm caused by herbicides.

Promotes Biodiversity: By selectively targeting weeds, spot spraying helps maintain the natural biodiversity of the field. Non-target plants remain unharmed, supporting a more diverse and healthy ecosystem.

Sustainable Farming: Spot spraying aligns with the principles of sustainable farming, optimizing resource usage and promoting environmental stewardship, making it a viable long-term solution for weed management.

Conclusions 

The study confirmed the hypotheses and highlighted the effectiveness and efficiency of using precision agriculture techniques, particularly spot spraying, to manage weed infestations and reduce costs.

Moreover, it proved the potential for broader adoption among farmers, especially those focused on efficiency and profit.

By demonstrating the benefits of spot spraying, this case study encourages farmers to adopt this innovative technique, paving the way for a more sustainable and cost-effective future in agriculture. Furthermore, the environmental benefits underscore the value of this approach, making it not just an economically sound choice, but also an environmentally responsible one.

For further insights into the benefits of variable rate fertilization and precision agriculture, you can explore more about variable rate technology and its applications in horticultural crops for detailed studies on nutrient management and optimization. Additionally, learn more about how precision agriculture improves resource management on the U.S. Government Accountability Office site. For insights on the efficiency and benefits of precision spot spraying, visit UGA Precision Ag Extension.

We demonstrated this use case in our previous Drones to Dollars webinar. To see it in action, watch the webinar recording.

 

Try Agremo Analytics

Free - no credit card required

What Our Clients Say About Us

  • Agremo's AI solution turns DJI's drone imagery into actionable insights, and its recipe maps make our AGRAS drone a truly intelligent and precise spraying tool." The integration of the Agremo platform between Agremo and the DJI drone is a turnkey solution for precision agriculture.

    DJI Agriculture

    Smart Farming Team

  • As markets become more defined and customer expectations are increasingly specific, Black Gold believes that we must develop greater awareness of how our crops function. Agremo provides a new window into understanding what is happening in our fields at a more granular level and how to move the needle in the best direction.

    Bryan Bowen

    Director of Agronomy at Black Gold Farms

  • Agremo helps us better understand and adjust to changes throughout the growing season. The flexibility and agility the Agremo team has shown through their platform enable us to adjust and meet changing demands due to weather or pest developments as the season progresses. In addition, the Agremo team consistently listens to feedback to ensure that everything works as described for our specific use cases.

    John Glick

    CIO at Cochranville Ag Service

  • After introducing mapping and crop analysis reports to farmers, they could see their field from another perspective. Agremo is helping us bring essential information to farmers which were impossible to get until recently.

    Ramón Pagán

    Mapping Expert and President @ Caribe Drones // Puerto Rico

  • Agremo’s map is more specific. Competitors break their maps into half-acre grids, but Agremo colors the whole thing exactly how it is. Visually, it’s night and day. A lot of farmers are visual.

    Corey Nohl

    Drone Operator and Farmer @ Above All Aerial // MN, USA

  • With Agremo reports, farmers they can increase productivity, reduce major problems by having early warnings during the early stages of the crops preventing major losses. Bottom line, increase ROI while minimizing losses.

    Miguel Ángel Salgado

    General Manager & Mapping Expert @ Ansar Drone // Mexico

  • The best thing about the plant population reports is the accuracy, which is splendid and it is very important! Great service at eye level with the customer!

    Sune Enevoldsen

    Field Manager and Drone Operator @ Noble Nordmann // Denmark

  • The biggest benefit for farmers who use drones and Agremo reports is that they increase their yields, reduce costs or improve their productivity. In the end, all these benefits are lead to extra profits.

    Ciprian Iorga

    General Manager @ La Orizont // Romania

  • We introduced new farming methods to farmers in Africa, who recognized that Agremo and drones can provide them with quicker, more convenient, efficient and accurate way of gathering decision making information.

    Derrick Annan

    CEO @ Aeroshutter // Ghana

  • With Agremo, we doubled our productivity, and our forestry clients are happy with the Agremo reports necessary for the inventory system as well as a stem map with tree distribution.

    Curt Rogers

    Co-owner @ TimberDrone // USA

  • Of the few vendors who advertised drone imagery analytics, Agremo provided a vastly superior capability. It is extremely important to base any remote sensing assessment in solid ground truth. Agremo clearly excelled over their competitors.

    Konrad Kern

    Image Scientist @ Falcon Aerial Data // USA

  • Agremo Stand Count analysis shows how successful seeding was and how many plants farmers will be able to harvest. Withal, it can help to apply different sowing standards in different parts of the plot, in order to achieve the highest yields.

    Zdravko Hojka

    Agroservice and Product Manager (Maize and Oil Crops), KWS SAAT AG

  • Since we ran our first report with Agremo, both our company and our customers continue to be impressed with the accuracy of the reports compared to our ground truthing. We have leveraged many Agremo reports but find the most value in crop health, weed and stand count analyses. We continue to leverage the Agremo intelligence as a proven way to improve our customers’ bottom line.

    Jeff Buyck

    VP of Precision Ag C&B

    GET A DEMO

    Free demo - no credit card required

    What precision agriculture reports do you need?

    • Weed Detection

      • spot weed-infested areas in time
      • take immediate effective in-season corrective measures
      • get precise spraying maps
    • Green Snap Detection

      • identify and classify areas with broken plants in the field
      • locate and quantify the crop damage
    • Lodging Detection

      • detect and classify areas with lodged plants
      • locate and quantify the crop damage
    • Stand Count

      • get the precise number of plants in a specific area
      • evaluate seed quality
      • assess field damages
      • know the zones of potential yield losses
    • VRS Stand Count

      • calculate the percentage under the norm in each zone with the same seeding rate
      • reduce input costs in the low-productivity field areas
      • count plants in the best and the worst zones
    • Plant Vigor

      • get data on the exact location, condition, strength, and lushness of vegetation
      • optimize the usage of inputs, save on them and prevent over-application
    • Waterlogging Detection

      • quickly and accurately locate all potential waterlogged areas in your field
      • reduce the negative effects of waterlogging, regardless of the field size and crop sort
    • Canopy Cover

      • get vital data on vegetation conditions and primary plant productivity
      • get the necessary details regarding the leaf area index (LAI)
      • determine the most optimal LAI for the fruits, vegetables, or cereals

       

    • Plant Count and Size Analysis

      • Count all plants in the field, such as leafy greens, trees, or orchard tree fruits.
      • Classify them per user-set size parameters, and filter out the counted plants per size.
      • Prepare the harvest operation per yield-ready zones
    • Weed Detection

      • spot weed-infested areas in time
      • take immediate effective in-season corrective measures
      • get precise spraying maps
    • Green Snap Detection

      • identify and classify areas with broken plants in the field
      • locate and quantify the crop damage
    • Lodging Detection

      • detect and classify areas with lodged plants
      • locate and quantify the crop damage
    • Stand Count

      • get the precise number of plants in a specific area
      • evaluate seed quality
      • assess field damages
      • know the zones of potential yield losses
    • VRS Stand Count

      • calculate the percentage under the norm in each zone with the same seeding rate
      • reduce input costs in the low-productivity field areas
      • count plants in the best and the worst zones
    • Plant Vigor

      • get data on the exact location, condition, strength, and lushness of vegetation
      • optimize the usage of inputs, save on them and prevent over-application
    • Waterlogging Detection

      • quickly and accurately locate all potential waterlogged areas in your field
      • reduce the negative effects of waterlogging, regardless of the field size and crop sort
    • Canopy Cover

      • get vital data on vegetation conditions and primary plant productivity
      • get the necessary details regarding the leaf area index (LAI)
      • determine the most optimal LAI for the fruits, vegetables, or cereals

       

    • Plant Count and Size Analysis

      • Count all plants in the field, such as leafy greens, trees, or orchard tree fruits.
      • Classify them per user-set size parameters, and filter out the counted plants per size.
      • Prepare the harvest operation per yield-ready zones