Lorena N. Lacerda
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View article: Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning
Impact of atmospheric corrections on satellite imagery for corn yield prediction using machine learning Open
View article: Using High-Resolution Multispectral Data to Evaluate In-Season Cotton Growth Parameters and End-of-the-Season Cotton Fiber Yield and Quality
Using High-Resolution Multispectral Data to Evaluate In-Season Cotton Growth Parameters and End-of-the-Season Cotton Fiber Yield and Quality Open
Estimating cotton fiber quality early in the season, or its field variability, is impractical due to limitations in current methods, and it has not been widely explored. Similarly, few studies have tried estimating the parameters contribut…
View article: Deep Learning Models for Corn Kernel Counting and Yield Estimation
Deep Learning Models for Corn Kernel Counting and Yield Estimation Open
View article: Deep Learning for Weed Detection and Segmentation in Agricultural Crops Using Images Captured by an Unmanned Aerial Vehicle
Deep Learning for Weed Detection and Segmentation in Agricultural Crops Using Images Captured by an Unmanned Aerial Vehicle Open
Artificial Intelligence (AI) has changed how processes are developed, and decisions are made in the agricultural area replacing manual and repetitive processes with automated and more efficient ones. This study presents the application of …
View article: Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review
Artificial Intelligence Applied to Support Agronomic Decisions for the Automatic Aerial Analysis Images Captured by UAV: A Systematic Review Open
Integrating advanced technologies such as artificial intelligence (AI) with traditional agricultural practices has changed how activities are developed in agriculture, with the aim of automating manual processes and improving the efficienc…
View article: Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton Open
Current irrigation management zones (IMZs) for variable rate irrigation (VRI) systems are static. They are delineated in the beginning of the season and used thereafter. However, recent research has shown that IMZ boundaries are transient …
View article: Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks
Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks Open
Using UAV and multispectral images has contributed to identifying field variability and improving crop management through different data modeling methods. However, knowledge on application of these tools to manage peanut maturity variabili…
View article: Using UAV-based thermal imagery to detect crop water status variability in cotton
Using UAV-based thermal imagery to detect crop water status variability in cotton Open
View article: WHATSAPP IN THE PRODUCTION ROUTINE IN THE INLAND: A Study on the Perspectives of Journalists from Imperatriz (MA) and Araguaína (TO)
WHATSAPP IN THE PRODUCTION ROUTINE IN THE INLAND: A Study on the Perspectives of Journalists from Imperatriz (MA) and Araguaína (TO) Open
This work seeks to understand how journalists, who work in newsrooms in the cities of Imperatriz (Maranhão – Brazil) and Araguaína (Tocantins - Brazil), use WhatsApp in their routine, and how this application affects their working conditio…
View article: Field Scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI
Field Scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI Open
Remotely sensed-based surface temperature is an important tool for crop monitoring and has great potential for improving irrigation management. However, current thermal satellite platforms do not display the fine spatial resolution require…
View article: High-resolution satellite image to predict peanut maturity variability in commercial fields
High-resolution satellite image to predict peanut maturity variability in commercial fields Open
View article: ESTIMATIVA DA MATURAÇÃO DE AMENDOIM UTILIZANDO SENSORIAMENTO REMOTO E REDES NEURAIS ARTIFICIAIS
ESTIMATIVA DA MATURAÇÃO DE AMENDOIM UTILIZANDO SENSORIAMENTO REMOTO E REDES NEURAIS ARTIFICIAIS Open