The Challenge: Weed Control in Mixed Cabbage Fields

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Cabbage crops present a unique challenge: different shapes, growth habits, and leaf textures make selective weeding difficult, especially in organic or reduced-input systems. These complexities often lead to input waste and crop damage when using traditional broadcast spraying. To overcome this, Ecorobotix applies Ultra-High Precision AI, treating only what’s necessary, while protecting each plant individually.

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The Solution: Advanced AI for Complex Crops

Our new Various Cabbages Algorithm identifies a wide range of cabbage types, enabling selective treatment of weeds, even when they grow closely beside valuable crop heads. With real-time image recognition and a 6×6 cm print, the ARA system applies only what is needed, exactly where it is needed. The algorithm will support the following cabbage types:

• Red and green head cabbage

• Napa cabbage

• Savoy cabbage

• Bok choy

• Kohlrabi

• Kale

A Solution When Selective Inputs Don't Work

A case study, conducted by our agronomists, highlights the agronomic value of ARA in a challenging weed management scenario. In a broccoli crop heavily infested with redroot pigweed (Amaranthus retroflexus) and lacking effective post-emergence solutions, ARA enabled the safe use of a non-selective herbicide through its safety zone feature. Applied with pyraflufen-ethyl under a legal extension in a two-pass, non-selective operating mode, ARA achieved effective weed control while preserving the crop, resulting in improved yield performance.

The Challenge: Selective Precision in Cauliflower Fields

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Cauliflower crops are sensitive. Standard broadcast spraying often results in chemical overuse, crop stress, and uneven weeding, especially where weeds grow close to cauliflower heads. With rising production costs and growing sustainability demands, farmers need an alternative way to control weeds without compromising quality.

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The Solution: Ultra‑Precise Weed Control

With the Cauliflower Algorithm, ARA now applies herbicide only where needed, plant by plant, within a precise 6 × 6 cm print. Thanks to real-time image analysis and advanced AI, it accurately distinguishes between cauliflower plants and weeds, even in dense or irregular crop layouts. Growers benefit from:

• Up to 95% less herbicide savings

• Lower risk of phytotoxic impact

• Fewer passes and reduced labor needs

• Environmentally friendly, targeted treatments

Carrot Farming with Award-Winning Precision

Discover how Ecorobotix’s ARA sprayer and its new carrot algorithm—winner of the LAMMA 2025 Silver Award—reduce plant protection products by up to 95%.

The Challenge: Precise Weed Control in Chicory Fields

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Traditional methods of chicory farming mostly rely on chemical application,  leading to increased phytotoxicity, higher costs, and potential crop damage. Nowadays, farmers suffer from molecules withdrawal and are facing challenges into weeds fighting to ensure proper yield.

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The Solution: Plant-by-Plant AI 

Ecorobotix’s advanced plant-by-plant AI enhances targeted weed control, ensuring precise and application of more efficient mixtures to reduce chemical waste and induced phytotoxicity to optimize crop health. This innovative approach minimizes phytotoxicity and helps farmers achieve more efficient, sustainable weed management. 

The Challenge: Precise Weed Control in Lettuce Fields

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Lettuce farming demands high precision. In the U.S., where lettuce is often seeded, growers face significant costs from manual weeding and broad plant protection product applications. These practices can lead to increased phytotoxicity and reduced crop quality. In Europe, where lettuce is typically transplanted, the main challenge lies in the precise application of insecticides and fungicides to protect young plants without harming them.

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The Solution: Plant-by-Plant AI

Ecorobotix’s advanced plant-by-plant AI redefines targeted weed control, ensuring only unwanted weeds are treated with exceptional accuracy. This technology optimizes crop health, reduces plant protection product costs, and enhances yield quality.

The Challenge: Manual lettuce thinning is costly, & often inconsistent across the field

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Lettuce thinning is a labor-intensive, time-sensitive task that traditionally requires large field crews and results in inconsistent spacing due to human variability. Rising labor costs, crew shortages, and the need for greater precision in crop management make manual thinning an increasingly unsustainable solution for commercial lettuce producers.

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The Solution: Plant-by-Plant AI

Ecorobotix’s ARA Lettuce Thinning algorithm offers a smarter, faster, and more precise alternative to manual thinning. Using advanced AI and high-resolution cameras, ARA identifies each lettuce plant individually and determines optimal spacing with sub-inch accuracy. This ensures uniform stands and eliminates the variability and inefficiency of hand crews. The system operates with a single driver, dramatically reducing labor costs and time in the field. Existing ARA owners can easily activate thinning through a software license—no new equipment needed. With the ability to thin, weed, and treat crops, ARA becomes a versatile tool that maximizes ROI and operational efficiency.

The Challenge: Precision in Spinach Farming

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Spinach farming requires precision. Traditional methods often involve high labor costs, excessive use of plant protection products, and imprecise weeding, all of which lead to diminished crop quality, increased environmental impact, and higher expenses. Even after harvesting, leftover weeds can affect packing quality, making precise weed control essential throughout the entire farming process.

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The Solution: Plant-by-Plant AI

Our cutting-edge, plant-by-plant AI technology revolutionizes weed control in spinach farming. With unparalleled accuracy, it targets only the weeds, even close to the crop, while keeping phytotoxicity to a minimum. This significantly reduces plant protection product use, lowers labor costs, and improves the yield, health, and overall quality of your spinach harvest.

Experience the future of spinach farming, where technology and sustainability grow hand in hand.