Skip to main content
Nubint
智能体
资源
价格方案
关于我们
ZH
Home
论文解读
Agricultural and Biological Sciences
Agricultural and Biological Sciences 论文解读
Agricultural and Biological Sciences 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
全部
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
Filter
528 results
An open access repository of images on plant health to enable the development of mobile disease diagnostics
David Hughes, Marcel Salathé
arXiv (Cornell University)
|
2015
|
897 citations
An end-to-end assembly of the Aedes aegypti genome
Daisy E. Pagete
arXiv (Cornell University)
|
2016
|
561 citations
Compressed Weighted de Bruijn Graphs
Italiano, Giuseppe F., Prezza, Nicola, +2
arXiv (Cornell University)
|
2013
|
465 citations
Leaf Classification Using Shape, Color, and Texture Features
Abdul Kadir, Lukito Edi Nugroho, +2
arXiv (Cornell University)
|
2013
|
211 citations
Higgs Working Group Report of the Snowmass 2013 Community Planning Study
S. Dawson, A. V. Gritsan, +132
arXiv (Cornell University)
|
2013
|
155 citations
Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, +1
arXiv (Cornell University)
|
2018
|
153 citations
An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing
David Hughes, Marcel Salathé
arXiv (Cornell University)
|
2015
|
142 citations
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms
Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, +3
arXiv (Cornell University)
|
2017
|
117 citations
A test for the search for life on extrasolar planets: Looking for the terrestrial vegetation signature in the Earthshine spectrum
L. Arnold, S. Gillet, +3
arXiv (Cornell University)
|
2002
|
117 citations
Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments
Bashar Alhnaity, Simon Pearson, +2
arXiv (Cornell University)
|
2019
|
91 citations
1
2
3
4
5