$18M reasons to fight the sugar beet diseases with drones

One of the leading raw materials for the production of manufactured sugar, a well-established crop in the American Midwest, sugar beet, is planted in the early spring and harvested in late September and October. Sugar beet yields tend to be higher in the Far West, but production costs tend to be higher as well.

USDA estimates that 1.12 million acres of sugar beet was planted in 2019.

All beets are grown on contract, and maintaining yield and quality is of the utmost importance in growing the crop successfully and in breaking even however factors such as disease can have a significant impact on yield and sugar content.

The crop is also susceptible to many pests, which can cause direct damage, or introduce viral diseases to the plant. Scouting is an investment in risk management — and that catching the early signs of disease infestation can pay for itself.

Disease and pest control is a key aspect of management for producers in all US regions. Chemical pest and disease control on sugar beet in the US can typically cost $85 per acre and represents over 9% of the total production cost per acre for sugar beet.

The most costly diseases for US Sugar beet producers include:

· Cercospora (CLS)

· Beet mild yellowing and

· Ramularioa leaf spot disease

Of these Cercospora is one of the most serious diseases for sugar beet producers in the Mid-West and can lead to losses of up to 40%, and can affect the root tonnage and % sugar in the roots. The loss of sugar from disease can be a major loss of revenue for producers. Every one percent of sugar content equates to 15 pounds of sugar that can be extracted per ton. Across the US this would represent over 60 million additional pounds of sugar per campaign, valued at 18 million dollars.

The disease is devastating once established which is why scouting is so important — you need to get on top of it as soon as it is spotted. In 2018, farmers faced a “perfect storm” of excessive rains and compounded losses due to CLS resistance to fungicides and Cercospora was again reported in Michigan in 2019.

CLS is caused by the airborne fungal pathogen Cercospora beticola. More recently losses of up to $375 per acre have been reported in fields were CLS has not been controlled and the SMSBC (Southern Minnesota Sugar Beet Cooperative) reported in 2016 that their growers lost over $30 million due to CLS.

For an effective treatment, it is vital to timely and correctly identify the disease and the extent of infestation within the crop.

How Does Scouting Help?

Scouting is increasingly important in crop management, in helping farmers improve disease & pest control and lower input costs and losses — technology can help and drones are being used for a whole range of crops including sugar beet.

Young beet seedlings are most vulnerable to stress, scouting for stand establishment and early signs on insect infestation should be carried out in May and early June, scout for root aphids in mid to late September.

A drone is a good helper in spotting plant disease and weeds and getting accurate and useful results. Manual scouting is limited by our visual perception, while the drone scouts every square meter of the field. Time is saved in crop walking, and because you don’t have to walk through the crop there is less disturbance.

Several benefits that drone-based plant disease analyses have compared to traditional measures are:

· Fast and save time and resources;

· Able to cover around 500 acres in less than two hours;

· Accurate — with error rates lower than 2%. And with drones, you are able to analyze every inch of your field;

· Proactive and effective in-season corrective measures.

Read how David was fighting Cercospora with drones & Agremo

How do you get the most out of drone data?

Drones can be an excellent way to collect and gather information on your crop, but do you make the most of the data you collect? How can you use data to get actionable recommendations to benefit your crop? However correct disease identification is vital to effective pest management and that’s why you should only use high-resolution images.

Best practice for drone scouting & Agremo analyses

Agremo plant disease analyses identify the percentage and the exact location of plant diseases caused by viruses, fungi or bacteria. Agremo closely examines plants by analyzing various factors, such as changes in the color index, shape or the percentage of missing leaves. Agremo analysis provides you with accurate and actionable insights on your plant’s health, which is why we conduct plant disease analyses in close cooperation with professional agronomists.

Agremo plant disease analyses can be used to:

· Identify the precise location and size of problem areas;

· Optimize treatments and preventive measures (fungicide, insecticide, etc.);

· Spot diseases before they affect your current yield goal.

When dealing with sugar beet diseases like Cercospora growers need quick answers to questions like: Is there enough time to apply the treatment? How much of the field is affected and how much fungicide will I have to apply? How much will the treatment cost?

These are all questions that using a drone alongside Agremo plant disease analysis can help with. Agremo’s stress analyses are conducted in close cooperation with professional agronomists to ensure that the data collected is converted into relevant and actionable reports. It is about combining accurate data with human knowledge and experience to provide actionable recommendations on the ground.

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    Agremo Analytics For Precision Agriculture

    • Plant Stress Analysis

      • identify and quantify zones of (potential) stress
      • act timely with the most adequate measures
      • increase yield potential
    • Weed Analysis

      • spot weed-infested areas in time
      • take immediate effective in-season corrective measures
      • get precise spraying maps
    • Pest Analysis

      • identify the exact location and size of pest affected field area(s)
      • take timely appropriate yield-saving corrective measures to prevent plant damage and crop yield reduction
    • Plant Disease Analysis

      • examine the entire vegetated area and evaluates its current condition
      • locate affected plants by diseases caused by viruses, fungi, or bacteria
    • Flowering Analysis

      • know accurate percentage of plants that have reached the flowering stage
      • perform yield estimations
      • determine the best time for harvesting and swathing
    • 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
    • Nitrogen Status Analysis

      • get data on health variations within field zones
      • data for soil samplings and precise spraying and fertilizing
    • Waterlogging Analysis

      • 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
    • Drought Analysis

      • identify and quantify all plants affected with drought
      • assess their current drought status
      • determine the exact areas of varying drought conditions
    • Canopy Analysis

      • get data on exact percentage covered by canopy/leaf area and ground cover area
      • and vital data on vegetation conditions and primary plant productivity
    • Plant Stress Analysis

      • identify and quantify zones of (potential) stress
      • act timely with the most adequate measures
      • increase yield potential
    • Weed Analysis

      • spot weed-infested areas in time
      • take immediate effective in-season corrective measures
      • get precise spraying maps
    • Pest Analysis

      • identify the exact location and size of pest affected field area(s)
      • take timely appropriate yield-saving corrective measures to prevent plant damage and crop yield reduction
    • Plant Disease Analysis

      • examine the entire vegetated area and evaluates its current condition
      • locate affected plants by diseases caused by viruses, fungi, or bacteria
    • Flowering Analysis

      • know accurate percentage of plants that have reached the flowering stage
      • perform yield estimations
      • determine the best time for harvesting and swathing
    • 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
    • Nitrogen Status Analysis

      • get data on health variations within field zones
      • data for soil samplings and precise spraying and fertilizing
    • Waterlogging Analysis

      • 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
    • Drought Analysis

      • identify and quantify all plants affected with drought
      • assess their current drought status
      • determine the exact areas of varying drought conditions
    • Canopy Analysis

      • get data on exact percentage covered by canopy/leaf area and ground cover area
      • and vital data on vegetation conditions and primary plant productivity