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| Filter results6 paper(s) found. |
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1. Carbon Stock Assessment in Macaúba (Acrocomia Aculeata) Crops Based on Aerial Digital ImagesIn the current context of climate change, a palm tree named Macaúba, native to the Brazilian Cerrado, has gained prominence as a more sustainable alternative to oil palm, standing out for its high capacity to fix atmospheric carbon throughout its cycle. However, there is a lack of methodologies capable of quantifying carbon stocks in large-scale plantations in a cost-effective way, and manual sampling is still common. In this context, the main objective was to evaluate the effectiveness... P.M. De Sousa, B.C. De Albuquerque, V.A. Galvan, L.D. Corrêdo, L.D. Pimentel, J. Souza |
2. Deep Learning Models Applied to Drone Imagery for Counting, Biometry, and Carbon Stock Estimation in Large-scale Macaw Palm (Acrocomia Aculeata) PlantationsMacaw palm is a native Brazilian species with significant productive potential, emerging as a premier candidate for the sustainable replacement of oil palm and as a strategic feedstock for sustainable aviation fuel (SAF) and carbon credit markets. However, as the crop is still in the process of domestication and commercial expansion, there is an urgent need for efficient monitoring technologies that enable the identification of superior individuals and the rigorous auditing of carbon stocks across... P.M. De Sousa, V.A. Galvan, J. Souza, R. . De Oliveira , L.D. Corrêdo, L.D. Pimentel, B.C. Albuquerque |
3. Management Zone Delineation for the Optimization of Nitrogen Use Efficiency in Arabica Coffee CropsPrecision coffee farming requires efficient methods for Nitrogen (N) management—an input of high cost and environmental impact, whose optimization faces challenges due to the topographical characteristics of regions such as the Zona da Mata in Minas Gerais, Brazil. This study evaluates and compares different dimensionality reduction models for agricultural management zone (MZ) delineation, aiming to maximize nitrogen fertilizer use efficiency in Arabica coffee plantations. A dataset comprising... D.N. Nunes, R.P. Oliveira, L.D. Corrêdo, L. Peternelli, A.W. Pedrosa, V.H. Galvan, J. Souza |
4. Silage Corn Production Under Different Management Strategies: Conventional and 4.0Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos |
5. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional SystemsAgriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos |
6. Application for Pixel-level Segmentation and Quantification of Lignified Fibers (Sclerenchyma) and Parenchyma in Microscopic Images of Sugarcane CulmsQuantifying lignified tissues in sugarcane culms (Saccharum spp.) is essential for anatomical characterizations and for inferences related to biomass quality and the potential uses of plant material. Conventional methods may require specific laboratory procedures and manual steps in digital analysis, increasing processing time and reliance on skilled operators. In this context, computer vision techniques applied to microscopic images constitute an accessible and reproducible alternative,... G.F. Rubio, J.F. Rubio, L.E. Pereira, J.R. Marques, A.R. Tech, M.F. Logli |