Results 51 to 60 of about 18,717 (242)

Correction to: Detection and analysis of wheat spikes using Convolutional Neural Networks

open access: yesPlant Methods, 2019
In the original publication of this article [1] the authors stated that important resources would be made available online to readers.
Md Mehedi Hasan   +3 more
doaj   +1 more source

Native grass breeding: Priority needs and strategic approaches

open access: yesGrassland Research, EarlyView.
The key needs and breeding strategies of native grass. Abstract Native grasses possess extensive ecological adaptability, such as cold, drought, and salt tolerance, and tolerance to poor soil conditions. They play a crucial role in ensuring food security and ecological security.
Xueming Dong, Wenxian Liu, Zhipeng Liu
wiley   +1 more source

Midgut bacteria in deltamethrin-resistant, deltamethrin-susceptible, and field-caught populations of Plutella xylostella, and phenomics of the predominant midgut bacterium Enterococcus mundtii

open access: yesScientific Reports, 2017
Gut bacteria play a significant role in host insect. This study evaluated detail difference of midgut bacteria in deltamethrin-resistant, deltamethrin-susceptible and field-caught populations of diamondback moth, and studied phenomics of the predominant ...
Wenhong Li   +3 more
doaj   +1 more source

Detection and analysis of wheat spikes using Convolutional Neural Networks

open access: yesPlant Methods, 2018
Background Field phenotyping by remote sensing has received increased interest in recent years with the possibility of achieving high-throughput analysis of crop fields.
Md Mehedi Hasan   +3 more
doaj   +1 more source

Leaf Counting with Deep Convolutional and Deconvolutional Networks

open access: yes, 2017
In this paper, we investigate the problem of counting rosette leaves from an RGB image, an important task in plant phenotyping. We propose a data-driven approach for this task generalized over different plant species and imaging setups.
Aich, Shubhra, Stavness, Ian
core   +1 more source

Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production:AirSurf-Lettuce [PDF]

open access: yes, 2019
Aerial imagery is regularly used by crop researchers, growers and farmers to monitor crops during the growing season. To extract meaningful information from large-scale aerial images collected from the field, high-throughput phenotypic analysis solutions
Applegate, Christopher   +8 more
core   +2 more sources

Breeding for multi‐stress resilience in crops: Myth or possibility?

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei   +2 more
wiley   +1 more source

Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

open access: yesPlant Methods, 2017
Background Wheat is one of the most widely grown crop in temperate climates for food and animal feed. In order to meet the demands of the predicted population increase in an ever-changing climate, wheat production needs to dramatically increase.
Nathan Hughes   +7 more
doaj   +1 more source

Crop Seed Phenomics: Focus on Non-Destructive Functional Trait Phenotyping Methods and Applications

open access: yesPlants, 2023
Seeds play a critical role in ensuring food security for the earth’s 8 billion people. There is great biodiversity in plant seed content traits worldwide.
Gokhan Hacisalihoglu, Paul Armstrong
doaj   +1 more source

What is cost-efficient phenotyping? Optimizing costs for different scenarios [PDF]

open access: yes, 2019
Progress in remote sensing and robotic technologies decreases the hardware costs of phenotyping. Here, we first review cost-effective imaging devices and environmental sensors, and present a trade-off between investment and manpower costs.
Aakash Chawade   +84 more
core   +3 more sources

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