Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †

Carlo Ríos; Valeria Machaca; Samantha Morales; Said Hernández; Antonio Angulo

doi:10.3390/2025083027

Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †

Carlo Ríos, Valeria Machaca, Samantha Morales, Said Hernández, Antonio Angulo

Universidad San Ignacio de Loyola

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Resumen

This research proposes using the Sentinel-2 platform to cultivate blueberries in the district of Nuevo Chao, La Libertad, Peru, taking advantage of favorable climatic conditions such as soil moisture and its production. The results show a model performance of 93%, with a specific neural network configuration. The Grad-Cam tool enables the interpretation of field images, highlighting distinct features at different growth stages. The metrics analysis reveals a 93% classification accuracy in detecting the growth stages. The discussion emphasizes the importance of remote sensing for evaluating plantations, endorsing the effectiveness of Sentinel-2. This technology is essential for improving the management and efficiency regarding blueberry production in Nuevo Chao.

Idioma original	Inglés
Número de artículo	27
Publicación	Engineering Proceedings
Volumen	83
N.º	1
DOI	https://doi.org/10.3390/2025083027
Estado	Publicada - 2025
Publicado de forma externa	Sí

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Ríos, C., Machaca, V., Morales, S., Hernández, S., & Angulo, A. (2025). Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †. Engineering Proceedings, 83(1), Artículo 27. https://doi.org/10.3390/2025083027

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title = "Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †",

abstract = "This research proposes using the Sentinel-2 platform to cultivate blueberries in the district of Nuevo Chao, La Libertad, Peru, taking advantage of favorable climatic conditions such as soil moisture and its production. The results show a model performance of 93%, with a specific neural network configuration. The Grad-Cam tool enables the interpretation of field images, highlighting distinct features at different growth stages. The metrics analysis reveals a 93% classification accuracy in detecting the growth stages. The discussion emphasizes the importance of remote sensing for evaluating plantations, endorsing the effectiveness of Sentinel-2. This technology is essential for improving the management and efficiency regarding blueberry production in Nuevo Chao.",

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Ríos, C, Machaca, V, Morales, S, Hernández, S & Angulo, A 2025, 'Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †', Engineering Proceedings, vol. 83, n.º 1, 27. https://doi.org/10.3390/2025083027

Analysis of Water Stress Using Sentinel-2 NDWI Images for Optimization of Progressive Harvest Dates in Blueberry (Vaccinium corymbosum) Crops: A Case Study of the Peruvian District of Nuevo Chao in the La Libertad Region †. / Ríos, Carlo; Machaca, Valeria; Morales, Samantha et al.
En: Engineering Proceedings, Vol. 83, N.º 1, 27, 2025.

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

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