Autonomous Drone-Based Pollination System Using AI Classifier to Replace Bees for Greenhouse Tomato Cultivation

Hiraguri, Takefumi; Shimizu, Hiroyuki; Kimura, Tomotaka; Matsuda, Takahiro; Maruta, Kazuki; Takemura, Yoshihiro; Ohya, Takeshi; Takanashi, Takuma

doi:10.1109/access.2023.3312151

Cited by 8 publications

(2 citation statements)

References 48 publications

(59 reference statements)

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“…Optimizing pollination strategies: Machine learning algorithms can optimize artificial pollination strategies based on a variety of factors [57,58]. These include the type of crop, environmental conditions, and the efficiency of different pollination methods [59,60]. This can lead to more targeted and effective pollination efforts [61].…”

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confidence: 99%

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of Xanthomonas arboricola pv. juglandis? A Review

Manthos,

Sotiropoulos,

Vagelas

2024

Applied Sciences

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Walnut (Juglans regia L.) is a monoecious species and although it exhibits self-compatibility, it presents incomplete overlap of pollen shed and female receptivity. Thus, cross-pollination is prerequisite for optimal fruit production. Cross-pollination can occur naturally by wind, insects, artificially, or by hand. Pollen has been recognized as one possible pathway for Xanthomonas arboricola pv. juglandis infection, a pathogenic bacterium responsible for walnut blight disease. Other than the well-known cultural and chemical control practices, artificial pollination technologies with the use of drones could be a successful tool for walnut blight disease management in orchards. Drones may carry pollen and release it over crops or mimic the actions of bees and other pollinators. Although this new pollination technology could be regarded as a promising tool, pollen germination and knowledge of pollen as a potential pathway for the dissemination of bacterial diseases remain crucial information for the development and production of aerial pollinator robots for walnut trees. Thus, our purpose was to describe a pollination model with fundamental components, including the identification of the “core” pollen microbiota, the use of drones for artificial pollination as a successful tool for managing walnut blight disease, specifying an appropriate flower pollination algorithm, design of an autonomous precision pollination robot, and minimizing the average errors of flower pollination algorithm parameters through machine learning and meta-heuristic algorithms.

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confidence: 99%

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of Xanthomonas arboricola pv. juglandis? A Review

Manthos,

Sotiropoulos,

Vagelas

2024

Applied Sciences

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“…Optimizing pollination strategies: Machine learning algorithms can optimize artificial pollination strategies based on a variety of factors [48,49]. These include the type of crop, environmental conditions, and the efficiency of different pollination methods [50,51]. This can lead to more targeted and effective pollination efforts [52].…”

mentioning

confidence: 99%

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of <em>Xanthomonas arboricola </em>pv. juglandis? Review.

Manthos,

Sotiropoulos,

Vagelas

2024

Preprint

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Walnut (Juglans regia L.) is a monoecious species and although it exhibits self-compatibility, presents incomplete overlap of pollen shed and female receptivity. Thus, cross-pollination is prerequisite for optimal fruit production. Cross-pollination can occur naturally by the wind, the insects, artificially, or by hand. Pollen has been recognized as one possible pathway for Xanthomonas arboricola pv. juglandis infection, a pathogenic bacterium responsible for walnut blight disease. Other than the well-known cultural and chemical control practices, artificial pollination technologies with the use of drones could be a successful tool for walnut blight disease management of orchards. Drones may carry pollen and release it over crops or mimic the action of bees or other pollinators. Although this new pollination technology could be regarded as a promising tool, pollen germination and knowledge of pollen as a possible pathway for the dissemination of bacterial diseases remain crucial information for design and manufacture of aerial pollinator robot for walnut trees. Thus, our purpose was to describe a pollination model with fundamental components, the identification of the “core” pollen microbiota, specify an appropriate flower pollination algorithm, design an autonomous precision pollination robot, and minimize the average errors of flower pollination algorithm parameters through machine learning and meta-heuristic algorithms.

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AI Emmbedded in Drone Control

Caballero-Martin,

Lopez-Guede,

Estevez

et al. 2024

Lecture Notes in Computer Science

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Autonomous Drone-Based Pollination System Using AI Classifier to Replace Bees for Greenhouse Tomato Cultivation

Cited by 8 publications

References 48 publications

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of Xanthomonas arboricola pv. juglandis? A Review

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of Xanthomonas arboricola pv. juglandis? A Review

Is the Artificial Pollination of Walnut Trees with Drones Able to Minimize the Presence of <em>Xanthomonas arboricola </em>pv. juglandis? Review.

AI Emmbedded in Drone Control

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