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A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
May 8, 2024, 4:46 a.m. | Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sha
cs.CV updates on arXiv.org arxiv.org
Abstract: Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant agricultural yield losses. To address this problem, farmers often employ the inefficient use of harmful chemical pesticides that have negative health and environmental impacts. As a result, a large amount of pesticide is wasted on areas without significant pest infestation. This brings to attention the …
abstract arxiv cluster comparative study cs.ai cs.cv dataset detection farmers fields losses segmentation study type vectors viruses
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