干旱区生态环境知识资源中心(Arid): Yield Prediction of Four Bean (Phaseolus vulgaris) Cultivars Using Vegetation Indices Based on Multispectral Images from UAV in an Arid Zone of Peru

Arid

DOI	10.3390/drones7050325
	Yield Prediction of Four Bean (Phaseolus vulgaris) Cultivars Using Vegetation Indices Based on Multispectral Images from UAV in an Arid Zone of Peru
	Saravia, David; Valqui-Valqui, Lamberto; Salazar, Wilian; Quille-Mamani, Javier; Barboza, Elgar; Porras-Jorge, Rossana; Injante, Pedro; Arbizu, Carlos I.
通讯作者	Arbizu, CI
来源期刊	DRONES
EISSN	2504-446X
出版年	2023
卷号	7 期号:5
英文摘要	In Peru, common bean varieties adapt very well to arid zones, and it is essential to strengthen their evaluations accurately during their phenological stage by using remote sensors and UAV. However, this technology has not been widely adopted in the Peruvian agricultural system, causing a lack of information and precision data on this crop. Here, we predicted the yield of four beans cultivars by using multispectral images, vegetation indices (VIs) and multiple linear correlations (with 11 VIs) in 13 different periods of their phenological development. The multispectral images were analyzed with two methods: (1) a mask of only the crop canopy with supervised classification constructed with QGIS software; and (2) the grids corresponding to each plot (n = 48) without classification. The prediction models can be estimated with higher accuracy when bean plants reached maximum canopy cover (vegetative and reproductive stages), obtaining higher R-2 for the c2000 cultivar (0.942) with the CIG, PCB, DVI, EVI and TVI indices with method 2. Similarly, with five VIs, the camanejo cultivar showed the highest R-2 for both methods 1 and 2 (0.89 and 0.837) in the reproductive stage. The models better predicted the yield in the phenological stages V3-V4 and R6-R8 for all bean cultivars. This work demonstrated the utility of UAV tools and the use of multispectral images to predict yield before harvest under the Peruvian arid ecosystem.
英文关键词	multiple regression multispectral imaging NDVI precision agriculture remote sensing
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001020902200001
WOS关键词	REFLECTANCE
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395867
推荐引用方式 GB/T 7714	Saravia, David,Valqui-Valqui, Lamberto,Salazar, Wilian,et al. Yield Prediction of Four Bean (Phaseolus vulgaris) Cultivars Using Vegetation Indices Based on Multispectral Images from UAV in an Arid Zone of Peru[J],2023,7(5).
APA	Saravia, David.,Valqui-Valqui, Lamberto.,Salazar, Wilian.,Quille-Mamani, Javier.,Barboza, Elgar.,...&Arbizu, Carlos I..(2023).Yield Prediction of Four Bean (Phaseolus vulgaris) Cultivars Using Vegetation Indices Based on Multispectral Images from UAV in an Arid Zone of Peru.DRONES,7(5).
MLA	Saravia, David,et al."Yield Prediction of Four Bean (Phaseolus vulgaris) Cultivars Using Vegetation Indices Based on Multispectral Images from UAV in an Arid Zone of Peru".DRONES 7.5(2023).