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Framework for Biological Control with Unmanned Aerial Vehicles. Agricultural pests and diseases can cause financiallosses on the scale of millions per year and threaten food security.Biological control (BC) is a natural phenomenon to mitigate a particular populati... ... Repository: BDPA Publication year: 2023
Mapping gaps in sugarcane fields in unmanned aerial vehicle imagery using YOLOv5 and ImageJ. Abstract: Sugarcane plays a pivotal role in the Brazilian economy as a primary crop. This semiperennial crop allows for multiple harvests throughout its life cycle. Given its longevity, farmers need t... ... Repository: BDPA Publication year: 2024
Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle. The objective of this work was to evaluate the potential of vegetation indices (VIs), obtained using aerial images from an unmanned aerial vehicle (UAV), for assessing water status of maize hybrids su... ... Repository: BDPA Publication year: 2024
A review on the use of Unmanned Aerial Vehicles and imaging sensors for monitoring and assessing plant stresses. Abstract: Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of contexts. Their use in agriculture is particularly suitable, as those areas are often vast, makin... ... Repository: BDPA Publication year: 2019
Estimation of Soybean Evapotranspiration Using SSEBop Model with High-Resolution Imagery from an Unmanned Aerial Vehicle. Evapotranspiration (ET) is one of the most important processes in the hydrologic cycle, constituting the main responsible for water losses at the surface. Several evapotranspiration models use informa... ... Repository: BDPA Publication year: 2024
A study on the detection of cattle in UAV images using deep learning. Abstract: Unmanned aerial vehicles (UAVs) are being increasingly viewed as valuable tools to aid the management of farms. This kind of technology can be particularly useful in the context of extensive... ... Repository: BDPA Publication year: 2019
Individual tree detection and species classification of Amazonian palms using UAV images and deep learning. Information regarding the spatial distribution of palm trees in tropical forests is crucial for commercial exploitation and management. However, spatially continuous knowledge of palms occurrence is s... ... Repository: BDPA Publication year: 2020
Assessment of sugarcane production using regression models and RGB vegetation indices data. Productivity estimates play a crucial role for sugarcane producers and sugar mills in planning production, aligning it with demand forecasts. Manual estimations demand considerable effort and time, pr... ... Repository: BDPA Publication year: 2024
Desenvolvimento de uma plataforma web para sensoriamento remoto com VANT. As demandas atuais de eficiência econômica e ambiental da agricultura moderna indicam a necessidade de incorporar novos sistemas inteligentes de automação e manejo capazes de processar os dados coleta... ... Repository: BDPA Publication year: 2023
A protocol for canopy cover monitoring on forest restoration projects using low-cost drones. Repository: BDPA Publication year: 2022

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