A5040141055- Sugarcane Cultivation and Processing
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Spectroscopy and Chemometric Analyses
- Biofuel production and bioconversion
- Geography and Environmental Studies
- Rice Cultivation and Yield Improvement
- Smart Agriculture and AI
- Soil and Land Suitability Analysis
- Rural Development and Agriculture
- Remote-Sensing Image Classification
- Irrigation Practices and Water Management
- Land Use and Ecosystem Services
- Agricultural and Food Sciences
- Environmental and biological studies
- Solar Radiation and Photovoltaics
- Wood and Agarwood Research
- Sustainable Development and Environmental Policy
- Bioenergy crop production and management
- Banana Cultivation and Research
- Photovoltaic System Optimization Techniques
- Impact of Light on Environment and Health
- Urban Transport and Accessibility
- Environmental Sustainability and Education
- Remote Sensing and Land Use
Universidade de São Paulo
2021-2025
Universidade Estadual de Campinas (UNICAMP)
2018-2022
Brazilian Center for Research in Energy and Materials
2018-2022
National Institute for Space Research
2014-2016
Brazilian Agricultural Research Corporation
2009
Nitrogen is one of the essential nutrients for production agricultural crops, participating in a complex interaction among soil, plant and atmosphere. Therefore, its monitoring important both economically environmentally. The aim this work was to estimate leaf nitrogen contents sugarcane from hyperspectral reflectance data during different vegetative stages plant. assessments were performed an experiment designed completely randomized blocks, with increasing doses (0, 60, 120 180 kg ha
Estimating yield is a major challenge for the majority of agricultural crops. With advancement field technologies however, especially those related to use Unmanned Aerial Vehicles (UAV) or Drones, quality available information has increased, making it possible overcome technological bottlenecks. However, drone have advanced much faster than studies dealing with treatment and analysis information, which can represent an obstacle complete adoption such in sugarcane fields. The objective...
Abstract. Sugarcane is the most important source of sugar, and its cultivation area has undergone rapid expansion, replacing other crops, pastures, forests. Brazil world's largest sugarcane producer contributed to approximately 38.6 % total production in 2019. can be harvested from April December south-central September northeast area. The flexible phenology harvest conditions make it difficult identify at state country scales. In this study, we developed a phenology-based method by...
Timely and efficient land-cover mapping is of high interest, especially in agricultural landscapes. Classification based on satellite images over the season, while important for cropland monitoring, remains challenging subtropical areas due to diversity management systems seasonal cloud cover variations. This work presents supervised object-based classifications year at 2-month time-steps a heterogeneous region 12,000 km2 Sao Paulo Brazil. Different methods remote-sensing datasets were...
Monitoring sugarcane areas through remote sensing is essential for planning and management of the national industry. The use machine learning algorithms has provided many benefits to sensing. This article aims compare prediction quality three important methods in identifying using Landsat images: Logistic Regression (LR), Decision Tree (DT) RandomForest (RF). LR was applied versions: without penalization, with Ridge penalization (LR-R) Lasso (LR-L). Data obtained this study refer a region...
O conteúdo relativo de água (CRA) e a espessura equivalente da (EEA) são parâmetros que fornecem informações sobre condição hídrica planta.A resposta espectral na região do visível infravermelho próximo (VIS-NIR) é uma alternativa para criação modelos espectrais predizer em diversas espécies plantas.O objetivo deste trabalho foi estabelecer as relações existentes entre variações nos CRA EEA com folha diferentes hibridos Eucalyptus.Para determinação necessário determinar o peso fresco (PF),
Abstract. Sugarcane is the most important source of sugar, and its cultivation area has undergone rapid expansion, replacing other crops, pastures, forests. Brazil world's largest sugarcane producer contributed to approximately 38.6 % total production in 2019. can be harvested from April December south-central September northeast area. The flexible phenology harvest conditions make it difficult identify at state country scales. In this study, we developed a phenology-based method by...
Land cover mapping is of great importance to provide reliable quantification agricultural landscapes. However, one the limitations in tropical regions cloud and shadow coverage, resulting imagery gaps. In this study, we tested four methods gap filling: Interpolation k = 1 2, Mean Median using VENµS satellite time series. Further, assessed these filled series an object-based classification Random Forest algorithm center São Paulo state, Brazil. We used a 10-day composite NDVI as input data...
A distribuição da radiação solar incidente no terreno devido a variações de relevo, latitude, condições atmosféricas e período integração foi caracterizada por estimativas sobre Modelos Digitais Elevação (MDE) com o algoritmo Solar Analyst. Os níveis típicos padrões gerais variação foram observados em períodos diários, mensais, semestrais anuais. Três áreas estudo relevo plano montanhoso escolhidas, nas regiões equatorial, tropical subtropical do Brasil. dados topográficos utilizados...