Proceedings
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| Filter results5 paper(s) found. |
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1. Agronomist-in-the-Loop Semantic 3D Reconstruction of Cotton Boll Morphology from UAV Imagery for Precision AgricultureStandard aerial photogrammetry is failing precision agriculture in one specific area: the detailed morphological assessment of complex, cluttered canopies. While creating a field-level map is trivial, recovering the geometry of a single cotton boll from a drone altitude of 30 meters is often mathematically intractable for standard Structure-from-Motion (SfM) solvers. These traditional pipelines depend on pixel-perfect consistency, which breaks down amidst... P. Sundaravadivel, H. Manjunatha, S. Borah, A. Anand, A. Price, H. Torbert, L. Tamil, T. Stroud |
2. A Multimodal Spectral-Robustness-LLM Pipeline for Non-Destructive Identification of Loropetalum chinense CultivarsProprietary cultivars of ornamental shrub Loropetalum chinense, particularly the visually and spectrally similar ‘Cerise Charm’, ‘Purple Daybreak’, and ‘Red Diamond’, derive their market value from the intensity and stability of anthocyanin pigmentation, a trait that degrades subtly under abiotic stress. Reliance on manual (visual) grading makes the industry vulnerable to these latent, pre-manifestation pigment losses, which are often detected only... P. Sundaravadivel, S. Borah, H. Manjunatha, S.P. Kumpatla, L. Tamil, P. Knight, T. Stroud |
3. Unified Detection and Weight Estimation of Small Fruits Using Multi-Task Vision Models in Precision AgricultureThis work presents a single computer vision model that can perform both object detection and image-level regression from the same input image. Many real applications, especially in agriculture, need information about individual objects as well as a global measurement for the entire image. When analyzing an image of small fruits such as different types of berries, grapes, currants, and muscadine grapes, it may be necessary to detect and classify... P. Sundaravadivel, T. Stroud, S. Borah, B.J. Sampson, P. Knight, S.P. Kumpatla, J.F. Ross |
4. Use of a Chlorophyll Meter As a Decision-support Tool for Nitrogen Management in Coffee FieldsCoffee is a crop with high nitrogen (N) demand in Brazil; therefore, improving N use efficiency in coffee plantations can have significant environmental and economic impacts. Decisions regarding N application rates in coffee cultivation are often empirical or based on multiple factors, including expected yield and plant N status as determined by leaf N concentration. Traditionally, leaf N concentration is obtained through laboratory chemical analysis, a process that may take several days and limits... D. Almeida, M. Pereira, A. , V. Giroto, G. Portz |
5. Mobile Robotic Soil Moisture Sensing and Mapping for Precision Agriculture in Small-Scale FarmingThe spatial variability of soil moisture is a key factor for efficient irrigation management and agricultural productivity, particularly in small-scale farming systems where access to precision agriculture technologies remains limited due to cost and operational complexity. This study presents the development and preliminary evaluation of a robotic sensing system for georeferenced soil moisture data acquisition, focusing on spatial mapping in small agricultural areas. The proposed system... D.H. Hall, M. Hosser, R.L. Machado, R. Galli, A.L. Machado |