Autor: Jauregui, Rosa Noemi
- A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses
- AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach
- BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.
- Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotations
- Near-infrared spectroscopy and wet chemistry dataset for forage nutritional quality assessment in Urochloa humidicola
- Enhancing phenotyping accuracy for selection of Urochloa tolerant genotypes to red spider mite (Oligonychus trichardti)
Autor: Ruiz-Hurtado, Andres Felipe
- Tolerance to spittlebugs (Aeneolamia varia) in Urochloa spp. and Megathyrsus maximus grasses: A dataset for plant damage phenotyping
- A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses
- Leveraging state of the art computer vision models for tree monitoring in silvopastoral systems
- TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models
- BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.
- Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotations
Ejemplares similares: Exploring the role of deep rooting ability on soil carbon accumulation in pasture-rice rotation systems in a Vertisol
- Using genetic diversity in deep root systems of forage grasses and rice to capture carbon in tropical soils
- Root phenotyping in tropical forage grasses and potential for soil organic carbon accumulation
- Using genetic diversity in deep root systems of forage grasses and rice to capture carbon in tropical soils
- An overview of studies at Hacienda San Jose (HSJ) cattle farm
- Carbon stock dynamics in Sheka forest biosphere reserve, Ethiopia: A 60-year trajectory (1990–2050) and its implications for ecosystem services and conservation
- Climate impact of bioH2 production from biogas using CO2 mineralization for carbon capture and storage
Ejemplares similares: Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands
- Early detection of plant virus infection using multispectral imaging and machine learning
- Comparison of the use of multispectral orthomosaics and RGB panoramic images for plant cover calculation in Urochloa hybrids
- An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery
- Characterization of multispectral aerial images of sugarcane
- From pixels to plant health: Accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning
- Use of high-altitude multispectral drone imaging for efficient NDVI and vegetation cover assessment in silvopastoral monitoring