Proceedings
Authors
| Filter results5 paper(s) found. |
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1. Sensing-Based Correlation Analysis of Surface Elevation and Topsoil Depth in Japanese Rice Paddy FieldProper management of soil physical properties is fundamental for stabilizing crop yields and optimizing resource efficiency in large-scale rice paddy production. Among these properties, field surface elevation and topsoil depth (TD) are critical determinants of water management effectiveness and root zone environments. This study conducted a high-resolution grid-based correlation analysis between surface elevation and TD in a 1.4-ha paddy field in Tottori Prefecture, Japan. To overcome the limitations... E. Morimoto, J. Lee, K. Nishida, H. Itoh |
2. Worldwide Crop Precision Agriculture Adoption: 2026 UpdateRobotics, machine vision, and drone spraying have attracted much attention in recent years. But the technologies introduced in the 2000s and earlier, such as yield monitors, guidance, variable rate technology (VRT), and digital imagery continue to advance worldwide, more on large mechanized grain and oilseed farms. This update summarizes census estimates and adoption surveys with statistically reliable random sampling from 24 countries. Within-country and farm size breakdowns are reported when... B. Erickson, J. Mcfadden, E. Morimoto, J. Lowenberg-deboer |
3. Evaluation of Diffuse Reflectance Spectroscopy and Machine Learning Methods for Soil Available Phosphorus and Potassium PredictionPhosphorus (P) and potassium (K) are essential elements for plants. Accurate evaluation of soil available P and K contents is fundamental for precision agriculture and site-specific nutrient management. However, traditional chemical analyses are time-consuming, labor-intensive, and costly. In this context, diffuse reflectance spectroscopy (DRS) has been introduced as a cheaper and rapid alternative; however, its accuracy in estimating soil P and K contents has not been fully proven, particularly... C. Guerra Martins, D.L. Grando, J. Moura Bueno, G. Brunetto, A.A. Kokkonen, L. Peranzoni Deponti, L. Bastos |
4. Co-registration of RGB UAV Orthomosaics Through a Semi-automated Affine Method Based on Ground Control Points and Phase Correlation ValidationUAV images are crucial for Precision Agriculture (AP) purposes which require the monitoring of spatial variability regarding plant growth, especially to assess variation at plant level over time in perennial crops, such as banana plantations. However, spatial misalignments between orthomosaics from different dates requires post-processing image matching, i.e., co-registration, to ensure reliable spatiotemporal variability analysis. This study proposes a method for the co-registration of RGB UAV... B.R. Costa, J.P. Molin, B. Barreto |
5. Individualization of Banana Canopies Using Multispectral Vegetation Index and the Watershed AlgorithmThe individualization of canopies in perennial crops is an essential step in precision agriculture, enabling plant counting, vigor monitoring, yield prediction, pest management, and harvest planning. Banana (Musa spp.), characterized by large leaves, closed canopy, and high biomass, presents specific challenges for automated segmentation. This study evaluated the performance of the watershed algorithm for canopy individualization, using different multispectral vegetation index, between... B.R. Costa, J.P. Molin, B. Barreto |