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Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned Aerial Vehicles

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da Silva, Gabriel Italo Novaes ; Jardim, Alexandre Manicoba da Rosa Ferraz ; dos Santos, Wagner Martins ; Bezerra, Alan Cezar ; Alba, Elisiane ; da Silva, Marcos Vinicius ; da Silva, Jhon Lennon Bezerra ; de Souza, Luciana Sandra Bastos ; Marinho, Gabriel Thales Barboza ; Montenegro, Abelardo Antonio de Assuncao ; da Silva, Thieres George Freire
Total Authors: 11
Document type: Journal article
Source: AGRICULTURE-BASEL; v. 14, n. 12, p. 16-pg., 2024-12-01.
Abstract

The objective of this study was to correlate the biophysical parameters of forage cactus with visible vegetation indices obtained by unmanned aerial vehicles (UAVs) and predict them with machine learning in different agricultural systems. Four experimental units were conducted. Units I and II had different plant spacings (0.10, 0.20, 0.30, 0.40, and 0.50 m) with East-West and North-South planting directions, respectively. Unit III had row spacings (1.00, 1.25, 1.50, and 1.75 m), and IV had cutting frequencies (6, 9, 12 + 6, and 18 months) with the clones "Orelha de Elefante Mexicana", "Mi & uacute;da", and "IPA Sert & acirc;nia". Plant height and width, cladode area index, fresh and dry matter yield (FM and DM), dry matter content, and fifteen vegetation indices of the visible range were analyzed. The RGBVI and ExGR indices stood out for presenting greater correlations with FM and DM. The prediction analysis using the Random Forest algorithm, highlighting DM, which presented a mean absolute error of 1.39, 0.99, and 1.72 Mg ha-1 in experimental units I and II, III, and IV, respectively. The results showed potential in the application of machine learning with RGB images for predictive analysis of the biophysical parameters of forage cactus. (AU)

FAPESP's process: 23/05323-4 - Plant phenology and environmental information for biodiversity and climatic change
Grantee:Alexandre Maniçoba da Rosa Ferraz Jardim
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
FAPESP's process: 17/22269-2 - Transition to sustainability and agriculture-energy-water nexus: exploring an integrated approach with case studies in the Cerrado and Caatinga
Grantee:Jean Pierre Henry Balbaud Ometto
Support Opportunities: Research Program on Global Climate Change - Thematic Grants