2023
DOI: 10.1109/access.2023.3312151
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Autonomous Drone-Based Pollination System Using AI Classifier to Replace Bees for Greenhouse Tomato Cultivation

Takefumi Hiraguri,
Hiroyuki Shimizu,
Tomotaka Kimura
et al.

Abstract: In greenhouse tomato cultivation, three primary methods of flower pollination exist: insect pollination, physical pollination by vibrating flowers, and artificial pollination using hormone-based chemicals. Insect pollination, the natural method, involves insects (e.g., honeybees) vibrating flowers to collect pollen and nectar. This paper proposes an alternate approach, using small drones to search and pollinate flowers in place of bees autonomously. We report field experiments conducted using these drone techn… Show more

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Cited by 12 publications
(2 citation 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].…”
mentioning
confidence: 99%
“…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].…”
mentioning
confidence: 99%
“…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%