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Showing 1 to 20 of 28 for “"Yield Estimation"”.

  1. Occlusion prediction for kiwifruit yield estimation

    … billion by 2025. Every season, the expected yield from each orchard is estimated. These estimates are used for both on-orchard decisions regarding thinning and spraying, and industry level decisions regarding export pricing, supply agreements, labour requirements, packaging quantities and …

    waikato-masters Repository record for Occlusion prediction for kiwifruit yield estimation (opens in a new tab)

  2. Assessing Drought Flows For Yield Estimation

    Determining safe yield of an existing water supply is a basic aspect of water supply planning. Where water is withdrawn from a river directly without any storage, the withdrawal is constrained by the worst drought flow in the river. There is no flexibility for operational adjustments other than …

    vt Repository record for Assessing Drought Flows For Yield Estimation (opens in a new tab)

  3. Models for Yield Estimation of Multichip Module Ceramic Substrates

    We present improved yield models that can be used for a broader range of printed patterns. We also enhance the defect geometry models that are commonly used today. We introduce a defect geometry model that is based on the physical process of defect formation. Our defect geometry model employs …

    uiuc Repository record for Models for Yield Estimation of Multichip Module Ceramic Substrates (opens in a new tab)

  4. Yield estimation and smart harvesting for precision agriculture using deep learning

    … a framework that provides farmers with a yield estimation from videos of crops and provides guided assistance for harvesting across the farm by utilizing geospatial information that is collected during the recording of the crops. We perform yield estimation by using a tracking model, …

    uoit Repository record for Yield estimation and smart harvesting for precision agriculture using deep learning (opens in a new tab)

  5. A comparison of yield estimation techniques for old-field loblolly pine plantations

    … pine (Pinus taeda) plantations requires accurate estimation of stand yield at rotation. Methods of estimating yield from stand variables, existing number of trees per acre, height of the dominant and co-dominant stand, and stand age, are presented. These methods include a multiple regression model …

    vt Repository record for A comparison of yield estimation techniques for old-field loblolly pine plantations (opens in a new tab)

  6. Performance of Alfalfa Blends, Prediction of Yield Components and a Technique of Yield Estimation

    Made available in DSpace on 2014-12-10T17:12:38Z (GMT). No. of bitstreams: 1 6901447.pdf: 4260123 bytes, checksum: 98c3465eba0ad3a5d793b6372d155a9f (MD5) Previous issue date: 1968

    uiuc Repository record for Performance of Alfalfa Blends, Prediction of Yield Components and a Technique of Yield Estimation (opens in a new tab)

  7. Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario

    … data fusion approach in crop monitoring and yield estimation applications in southwestern Ontario. Firstly, the sensitivity of 16 parameters derived from C-band Radarsat-2 polarimetric SAR data to crop height and fractional vegetation cover (FVC) was investigated. The results show that the …

    uwo Repository record for Crop monitoring and yield estimation using polarimetric SAR and optical satellite data in southwestern Ontario (opens in a new tab)

  8. Grape yield estimation in commercial vineyards using artificial intelligence, image analysis, and proximal RGB sensing

    La estimación precisa del rendimiento de la uva es un reto histórico en viticultura, con implicaciones directas en la gestión del viñedo, la planificación de la vendimia, la logística de bodega y la calidad final del vino. Los métodos tradicionales —muestreo manual y evaluaciones de expertos— son …

    dialnet Repository record for Grape yield estimation in commercial vineyards using artificial intelligence, image analysis, and proximal RGB sensing (opens in a new tab)

  9. Applying the RUSLE and SEDD Equations to an Agricultural Watershed in Southwest Virginia - A Case Study in Sediment Yield Estimation Using GIS

    … the quantity of eroded sediment and the sediment yield at the duck pond, respectively. These models require numerous computations, which were performed at the watershed scale with the aid of ArcGIS software. In ArcGIS the watershed was broken into a raster grid of approximately 5,200 discrete 100 …

    vt Repository record for Applying the RUSLE and SEDD Equations to an Agricultural Watershed in Southwest Virginia - A Case Study in Sediment Yield Estimation Using GIS (opens in a new tab)

  10. Phenotyping Canola (Brassica napus L.) Agronomic Traits and Estimating Seed Yield Using Unoccupied Aerial Vehicle (UAV)-based Multispectral Imagery

    … sensors, desirable phenotypic traits and seed yield can be estimated digitally. In this thesis, the main objective was to develop an efficient and non-destructive method to estimate canola flowering number, flowering layer depth, canopy height, and seed yield using UAV-based multispectral …

    sask Repository record for Phenotyping Canola (Brassica napus L.) Agronomic Traits and Estimating Seed Yield Using Unoccupied Aerial Vehicle (UAV)-based Multispectral Imagery (opens in a new tab)

  11. Towards Autonomous Cotton Yield Monitoring

    … of interest in remote sensing to date is yield variability. Proper understanding of yield variability provides insight on the geo-positional dependences of field yields and insight on zone management strategies. Estimating cotton yield and observing cotton yield variability has proven to …

    vt Repository record for Towards Autonomous Cotton Yield Monitoring (opens in a new tab)

  12. Development of hay yield monitoring systems

    … waste. Precision agriculture enhances crop yield and quality, balancing economic and environmental interests. Simultaneously, hay production in agriculture, crucial for livestock during scarce pasture periods, benefits from these advancements. Its harvesting process, aimed at preserving …

    missouri Repository record for Development of hay yield monitoring systems (opens in a new tab)

  13. Application of unmanned aerial systems and deep learning in high-throughput plant phenotyping

    … sorghum breeding efficiency and accurate yield estimation. UAS images were collected at 20 m flight height at the seedling stages on two dates in 2020 for cotton stand counting. The CenterNet model had a better overall performance for cotton plant detection and counting with 900 training …

    ttu Repository record for Application of unmanned aerial systems and deep learning in high-throughput plant phenotyping (opens in a new tab)

  14. Understanding the relationship of lumber yield and cutting bill requirements: a statistical approach

    … have been placing heavy emphasis on lumber yield improvements in recent years. More attention has been on lumber grade and cutting technology rather than cutting bill design. However, understanding the underlying physical phenomena of cutting bill requirements and yield is essential to …

    vt Repository record for Understanding the relationship of lumber yield and cutting bill requirements: a statistical approach (opens in a new tab)

  15. Automatic Tuning Algorithms and Statistical Circuit Design

    … the emphasis is on Monte Carlo techniques for yield estimation and yield maximization. Several techniques for achieving variance reduction in the yield estimates are discussed. A quadratic approximation model is set up for the circuit and is used to provide an extrapolated yield approximation …

    uiuc Repository record for Automatic Tuning Algorithms and Statistical Circuit Design (opens in a new tab)

  16. Adjoint-based particle defect yield modeling

    … models, and perform critical area extraction for yield estimation. The model and result will be used to help generate layout design rules, predicting, and optimizing yield of complex silicon photonic devices and circuits for tomorrow's silicon photonics designers.

    mit Repository record for Adjoint-based particle defect yield modeling (opens in a new tab)

  17. Renewable electric power systems energy yield and performance estimation

    … models for reliability assessment, energy yield estimation, and uncertainty analysis of renewable electric power systems. We propose system performability models that describe system attributes while acknowledging failures and repairs in constituent elements. Two broad classes of models are …

    uiuc Repository record for Renewable electric power systems energy yield and performance estimation (opens in a new tab)

  18. Hyperspectral Imagery for Precision Agriculture

    … temporal relationship between images and corn yield and estimating corn kernel grain quality. It was found that images from the beginning of full canopy coverage to the corn ear formation period provided the best and most stable results for corn yield estimation. The significant image bands …

    uiuc Repository record for Hyperspectral Imagery for Precision Agriculture (opens in a new tab)

  19. Applications of computer vision techniques in precision viticulture

    … of flower number per inflorescence; ii) estimation of the yield before harvest; and iii) evaluation of canopy status. The use of different capturing procedures (manual, smartphone based and on-the-go) was also taken into account, tested and analysed. The algorithm developed for the …

    dialnet Repository record for Applications of computer vision techniques in precision viticulture (opens in a new tab)

  20. Characterization of process variability and robust optimization of analog circuits

    … optimization methods to improve parametric yield. An external bias control is utilized to dynamically tune the divider operating range and to compensate for performance variation. A novel time delay model of a differential CML buffer is proposed to functionally approximate the maximum …

    mit Repository record for Characterization of process variability and robust optimization of analog circuits (opens in a new tab)

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