Proceedings
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| Filter results7 paper(s) found. |
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1. Combining Orbital and Proximal Sensing to Map Management Zones in Precision Viticulture: A Spatiotemporal AnalysisPrecision agriculture stands out by mapping the spatiotemporal variability of vineyards to understand the interdependence between causes and effects throughout production cycles. Vegetative vigor, which can be estimated using vegetation indices calculated from proximal and orbital sensors, is a fundamental parameter for indicating this variability and assisting in the definition of potential, time-constant management zones. The objective of this study was to evaluate and compare the use of proximal... E.A. Speranza, J.R. Da Silva, L.R. Correa, L.H. Bassoi |
2. A Hybrid Non-Destructive Approach Combining Image Processing and Spectral Feature Selection for Grapevine Leaf Water Content EstimationReliable and continuous estimation of leaf water content (LWC) is essential for viticulture, as it enables assessment of spatiotemporal variability in vine water demand and supports improved irrigation management efficiency within Precision Agriculture (PA) practices. Although the gravimetric method based on fresh weight (FW) and dry weight (DW) measurements provides accurate LWC estimates, it is time-consuming, destructive, and exhibits limited scalability for large sample sizes. In contrast,... L.H. Bassoi, B.S. Costa, E.J. Ferreira, H. Oldoni, L.A. Jorge |
3. Proximal and suborbital vegetation indices in yield prediction of ‘Syrah’ grapevinesThe various vegetation indices (VIs) reported in the literature, derived from different wavelengths, necessitate identifying the most suitable spectral combinations to represent agronomic variables in precision viticulture. This study evaluated the performance of proximal and suborbital VIs to explain the spatial variability of yield of the ‘Syrah’ grapevine. The study was conducted in a trellised vineyard under double pruning management in Ribeirão Preto, state of São... L.H. Bassoi, L.A. Jorge, A. Pereira, I. Oliveira Junior |
4. Consistency of Three Vegetation Indices from Suborbital and Proximal Sensing in Precision ViticultureThe integration of proximal and suborbital sensing platforms can expand the practice of precision viticulture. However, the consistency of vegetation indices (VIs) derived from different sensors remains a critical issue. This study quantified the agreement between VIs obtained by proximal and suborbital sensing using complementary metrics of association, error, and agreement. The research was conducted in a ‘Syrah’ vineyard in Ribeirão Preto, state of São Paulo, Brazil,... L.H. Bassoi, L.A. Jorge, A. Pereira, I. Oliveira Junior |
5. Importance of Irradiance Correction for UAV-based Vegetation Indices in the Prediction of Shoot Biomass in WheatThe extraction of vegetation indices from multispectral images obtained with UAV-bsed sensors for biomass estimation has proven to be a useful tool for designing site-specific interventions on wheat. The reflectance values from monochromatic bands collected with optical sensors for calculating vegetation indices should have high reliability and repeatability in the case of successive assessments under different illumination conditions. In this context, the objective of the study was to characterize... A.C. Figueiró, B. Nogueira, E. Bender, R. Silva, V.M. Cassol, S.J. Silveira , C. Bredemeier, A.L. Vian |
6. A Statistical Approach to Defining Coffee Management Zones: Integrating Apparent Soil Electrical Conductivity, Altimetry and Satelitte Indices for Moisture MonitoringCharacterizing the spatial and temporal behavior of soil and plant attributes represents the elementary step toward adoption precision agriculture. The expanding availability of multi-temporal remote sensing imagery with enhanced spatial resolution has rendered the delineation of management zones (MZ) an increasingly feasible strategy, especially when the intention is to carry out spatially differentiated interventions considering the vegetative vigor throughout the crop cycle or the plant yield.... E.A. Speranza, E.J. Ferreira, L.H. Bassoi, L.M. Rabello, C.M. Vaz, A. Torre-neto |
7. Step-by-Step Precision Fruit FarmingGuidelines on how to implement a precision fruit farming system in perennial crops, considering abiotic aspects (fertility, water, and climate) and biotic aspects (physiology, human activities, and harvesting), in order to structure the full cycle of precision agriculture. Target audience: Technicians, Students, and Researchers Language: English ... L. Gebler, L.H. Bassoi |