相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Cerebral micro-bleeding identification based on a nine-layer convolutional neural network with stochastic pooling
Shuihua Wang et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2020)
Computer vision based detection of external defects on tomatoes using deep learning
Arthur Z. da Costa et al.
BIOSYSTEMS ENGINEERING (2020)
Influence of Plant Growth-Promoting Rhizobacteria on Corn Growth under Drought Stress
Yaru Lin et al.
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS (2020)
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
Shui-Hua Wang et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model
Xue-Bo Jin et al.
SENSORS (2020)
A novel computer vision based neutrosophic approach for leaf disease identification and classification
Gittaly Dhingra et al.
MEASUREMENT (2019)
Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image
Bin Xie et al.
SENSORS (2019)
Corn Classification System based on Computer Vision
Xiaoming Li et al.
SYMMETRY-BASEL (2019)
Optimal Selling Policies for Farmer Cooperatives
Jim (Junmin) Shi et al.
PRODUCTION AND OPERATIONS MANAGEMENT (2019)
Machine Learning Approaches to Improve Three Basic Plant Phenotyping Tasks Using Three-Dimensional Point Clouds1[OPEN]
Illia Ziamtsov et al.
PLANT PHYSIOLOGY (2019)
Object Detection With Deep Learning: A Review
Zhong-Qiu Zhao et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Maize yield and nitrate loss prediction with machine learning algorithms
Mohsen Shahhosseini et al.
ENVIRONMENTAL RESEARCH LETTERS (2019)
Pest Status and Management of Corn Earworm (Lepidoptera: Noctuidae) in Field Corn in the United States
Francis R. F. Reay-Jones
JOURNAL OF INTEGRATED PEST MANAGEMENT (2019)
Aerial Imagery Analysis - Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy
Wei Guo et al.
FRONTIERS IN PLANT SCIENCE (2018)
Machine vision for counting fruit on mango tree canopies
W. S. Qureshi et al.
PRECISION AGRICULTURE (2017)
Digital Counts of Maize Plants by Unmanned Aerial Vehicles (UAVs)
Friederike Gnaedinger et al.
REMOTE SENSING (2017)
Semi-automated, machine vision based maize kernel counting on the ear
Tony E. Grift et al.
BIOSYSTEMS ENGINEERING (2017)
Fruit classification by biogeography-based optimization and feedforward neural network
Yudong Zhang et al.
EXPERT SYSTEMS (2016)
Scenario analysis of fertilizer management practices for N2O mitigation from corn systems in Canada
Diego Abalos et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2016)
Biofuel co-products as swine feed ingredients: Combining corn distillers dried grains with solubles (DDGS) and crude glycerin
P. J. Lammers et al.
ANIMAL FEED SCIENCE AND TECHNOLOGY (2015)
Machine learning applications in genetics and genomics
Maxwell W. Libbrecht et al.
NATURE REVIEWS GENETICS (2015)
Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions
Subhajit Sengupta et al.
BIOSYSTEMS ENGINEERING (2014)
A survey of multi-view machine learning
Shiliang Sun
NEURAL COMPUTING & APPLICATIONS (2013)
A Few Useful Things to Know About Machine Learning
Pedro Domingos
COMMUNICATIONS OF THE ACM (2012)
Evaluation of random forest method for agricultural crop classification
Asli Ozdarici Ok et al.
EUROPEAN JOURNAL OF REMOTE SENSING (2012)
Distinctive image features from scale-invariant keypoints
DG Lowe
INTERNATIONAL JOURNAL OF COMPUTER VISION (2004)