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Pesticide-Free Robotic Control of Aphids as Crop Pests
- Source :
- AgriEngineering, AgriEngineering, 2022, 4 (4), pp.903-921. ⟨10.3390/agriengineering4040058⟩, AgriEngineering; Volume 4; Issue 4; Pages: 903-921
- Publication Year :
- 2022
- Publisher :
- HAL CCSD, 2022.
-
Abstract
- International audience; Because our civilization has relied on pesticides to fight weeds, insects, and diseases since antiquity, the use of these chemicals has become natural and exclusive. Unfortunately, the use of pesticides has progressively had alarming effects on water quality, biodiversity, and humanhealth. This paper proposes to improve farming practices by replacing pesticides with a laser-based robotic approach. This study focused on the neutralization of aphids, as they are among the most harmful pests for crops and complex to control. With the help of deep learning, we developeda mobile robot that spans crop rows, locates aphids, and neutralizes them with laser beams. We have built a prototype with the sole purpose of validating the localization-neutralization loop on a single seedling row. The experiments performed in our laboratory demonstrate the feasibility ofdetecting different lines of aphids (50% detected at 3 cm/s) and of neutralizing them (90% mortality) without impacting the growth of their host plants. The results are encouraging since aphids are one of the most challenging crop pests to eradicate. However, enhancements in detection and mainly intargeting are necessary to be useful in a real farming context. Moreover, robustness regarding field conditions should be evaluated.
- Subjects :
- robotics
[SPI.AUTO] Engineering Sciences [physics]/Automatic
Complementary and alternative medicine
[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture
farming
aphid detection
laser-based neutralization
deep learning
image-based visual servoing
Pharmaceutical Science
[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture
Pharmacology (medical)
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Subjects
Details
- Language :
- English
- ISSN :
- 26247402
- Database :
- OpenAIRE
- Journal :
- AgriEngineering, AgriEngineering, 2022, 4 (4), pp.903-921. ⟨10.3390/agriengineering4040058⟩, AgriEngineering; Volume 4; Issue 4; Pages: 903-921
- Accession number :
- edsair.doi.dedup.....f9e226da902319a1204d590a2c01be1a
- Full Text :
- https://doi.org/10.3390/agriengineering4040058⟩