High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements-Reference-Cited by-同舟云学术

High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements

Published:2022-02 Issue: Volume:260 Page:107283
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Fullana-Pericàs Mateu,Conesa Miquel À.,Gago Jorge,Ribas-Carbó Miquel,Galmés Jeroni

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference99 articles.

1. Hyperspectral imaging: a review on UAV-based sensors, data processing and applications for agriculture and forestry;Adão;Remote Sens.,2017

2. Evapotranspiración del cultivo: Guias para la determinación de los requerimientos de agua de los cultivos;Allen,2006

3. Field high-throughput phenotyping: the new crop breeding frontier;Araus;Trends Plant Sci.,2014

4. Breeding to adapt agriculture to climate change: affordable phenotyping solutions;Araus;Curr. Opin. Plant Biol.,2018

5. Translating high-throughput phenotyping into genetic gain;Araus;Trends Plant Sci.,2018

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score-based evaluation;Computers and Electronics in Agriculture;2024-09

2. GLDCNet: A novel convolutional neural network for grapevine leafroll disease recognition using UAV-based imagery;Computers and Electronics in Agriculture;2024-03

3. Drones in vegetable crops: A systematic literature review;Smart Agricultural Technology;2024-03

4. Data-driven approaches to improve water-use efficiency and drought resistance in crop plants;Plant Science;2023-11

5. An integrative data-driven approach for monitoring corn biomass under irrigation water and nitrogen levels based on UAV-based imagery;Environmental Monitoring and Assessment;2023-08-24