Jamile do Nascimento Santos, Izadora de Cássia Mesquita da Cunha, Odailson Rodrigues do Nascimento, Flavio Henrique Santos Rodrigues, Luiz Antonio Soares Cardoso, Fábio Júnior de Oliveira
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引用次数: 0
Abstract
The açaí production chain (Euterpe oleraceae Mart.) has been expanding and bringing with it several innovations and initiatives for the cultivation. Remote sensing technologies allow obtaining multispectral images of the açaí tree, which can be applied in the reproductive phenological determination of the crop, being an effective tool for agricultural management. The present study aimed to determine the relationship between the reproductive development of the açaí tree and the vegetation indices obtained by RPAS (remotely piloted aircraft system) images. The work was carried out in a commercial plantation of açaí, with 7 years old, located in Fazenda Ornela LTDA, municipality of Capitão Poço, state of Pará, Brazil. The experiment was carried out in random blocks, with 8 plots containing 6 clumps each. Each clump consists of 2 stems, totaling 12 stems per plot. All plots received the same cultural treatments. The variables were analyzed: number of spathes, number of inflorescence, number of green bunch, number of black bunch and number of leaves. To obtain orthophotos and assess the NDVI (normalized difference vegetation index) and SAVI (soil-adjusted vegetation index) of the açaí grove, a DJI Mavic 2 Pro RPA equipped with a Mapir Survey 3 multispectral camera was used. The results show that the NDVI and SAVI are correlated with the variable number of black bunch. An estimation model was built to determine the number of black bunches based on NDVI and SAVI. The model explains 47.05% of the variation for NDVI and 30.5% for SAVI, indicating it can predict the reproductive phenological variables and approximate production values of the açaí tree, aiding producers in agricultural management.
期刊介绍：
The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.
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