Results 31 to 40 of about 287,762 (312)

Development of a Multi-Scale Tomato Yield Prediction Model in Azerbaijan Using Spectral Indices from Sentinel-2 Imagery

open access: yesRemote Sensing, 2022
This paper presents the development and update of a multi-scale yield prediction model for processing tomatoes. The study was carried out under the EU-funded programme “Support to Development of a Rural Business Information System (RBIS)”, and the ...
Vasilis Psiroukis   +5 more
doaj   +1 more source

Prelayout interconnect yield prediction [PDF]

open access: yesIEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2003
Functional yield is a term used to describe the percentage of dies on a wafer that are not affected by catastrophic defects. Within the interconnect these defects are usually caused by particle contamination and are divided into bridging defects, which join adjacent wires and cuts, which result in broken wires.
Christie, P., Pineda de Gyvez, J.
openaire   +1 more source

Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging

open access: yesAgronomy, 2019
An early and precise yield estimation in intensive managed grassland is mandatory for economic management decisions. RGB (red, green, blue) cameras attached on an unmanned aerial vehicle (UAV) represent a promising non-destructive technology for the ...
Esther Grüner   +2 more
doaj   +1 more source

Creeping Bentgrass Yield Prediction With Machine Learning Models

open access: yesFrontiers in Plant Science, 2021
Nitrogen is the most limiting nutrient for turfgrass growth. Instead of pursuing the maximum yield, most turfgrass managers use nitrogen (N) to maintain a sub-maximal growth rate.
Qiyu Zhou, Douglas J. Soldat
doaj   +1 more source

Effects of canopy management practices on grapevine bud fruitfulness

open access: yesOENO One, 2020
Background and aims: Bud fruitfulness is a key component of grapevine reproductive performance as it determines crop production for the following growing season.
Cassandra Collins   +4 more
doaj   +1 more source

Modelling the Influence of Soil Properties on Crop Yields Using a Non-Linear NFIR Model and Laboratory Data

open access: yesSoil Systems, 2021
This paper introduces a new non-linear correlation analysis method based on a non-linear finite impulse response (NFIR) model to study and quantify the effects of ten soil properties on crop yield. Two versions of the NFIR model were implemented: NFIR-LN,
Rebecca L. Whetton   +3 more
doaj   +1 more source

Prediction of Crop Yield Using Phenological Information Extracted from Remote Sensing Vegetation Index

open access: yesSensors, 2021
Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this study, a phenological approach based on a remote sensing vegetation index was explored to predict the yield in 314 counties within the US Corn Belt, divided ...
Zhonglin Ji   +4 more
doaj   +1 more source

Yield Prediction for 3D Capacitive Interconnections [PDF]

open access: yes2006 IEEE/ACM International Conference on Computer Aided Design, 2006
Capacitive interconnections are very promising structures for high-speed and low-power signaling in 3D packages. Since the performance of AC links, in terms of Band-Width and Bit-Error-Rate (BER), depends on assembly and synchronization accuracy we performed a statistical analysis of assembly procedures and communication circuits.
FAZZI, ALBERTO   +7 more
openaire   +2 more sources

A Review of CNN Applications in Smart Agriculture Using Multimodal Data

open access: yesSensors
This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield
Mohammad El Sakka   +3 more
doaj   +1 more source

Modeling of the Effect of Process Variations on a Micromachined Doubly-Clamped Beam

open access: yesMicromachines, 2017
In the fabrication of micro-electro-mechanical systems (MEMS) devices, manufacturing process variations are usually involved. For these devices sensitive to process variations such as doubly-clamped beams, mismatches between designs and final products ...
Lili Gao, Zai-Fa Zhou, Qing-An Huang
doaj   +1 more source

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