Results 11 to 20 of about 14,831,592 (247)

A Review on Sensing Technologies for High-Throughput Plant Phenotyping

IEEE Open Journal of Instrumentation and Measurement, 2022
The current epidemic, population growth, and decreasing arable lands lead to a severe food crisis, which calls for productive and efficient agricultural methods to ensure a sustainable food supply for mankind.
Zhenyu Ma, Rakiba Rayhana, Ke Feng, Zheng Liu, Gaozhi Xiao, Yuefeng Ruan, Jatinder S. Sangha   +6 more
doaj   +2 more sources

Machine learning methods for automatic segmentation of images of field-and glasshouse-based plants for high-throughput phenotyping [PDF]

, 2023
Image segmentation is a fundamental but critical step for achieving automated high- throughput phenotyping. While conventional segmentation methods perform well in homogenous environments, the performance decreases when used in more complex environments.
Castle, M., Nicolas Virlet, Cudjoe, Daniel M., Manal Mhada, Mohareb, F., Riche, Andrew B., Hawkesford, Malcolm John, March Castle, Latifa Greche, Daniel Cudjoe, Pouria Sadeghi-Tehran, Virlet, Nicolas, Cudjoe, D., Frank Gyan Okyere, Andrew B. Riche, Mhada, Manal, Mohare, Fady, Okyere, F., Mhada, M., Virlet, N., Sadeghi-Tehran, Pouria, Greche, Latifa, Greche, L., Sadeghi-Tehran, P., Simms, D. M., Daniel Simms, Simms, Daniel M., Riche, A. B., Malcolm John Hawkesford, Okyere, Frank Gyan, Hawkesford, M. J., Castle, March, Fady Mohareb   +32 more
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Installation and imaging of thousands of minirhizotrons to phenotype root systems of field-grown plants

Plant Methods, 2022
Background Roots are vital to plant performance because they acquire resources from the soil and provide anchorage. However, it remains difficult to assess root system size and distribution because roots are inaccessible in the soil.
Ashish B. Rajurkar, Scott M. McCoy, Jeremy Ruhter, Jessica Mulcrone, Luke Freyfogle, Andrew D. B. Leakey   +5 more
doaj   +1 more source

Designing an Interactively Cognitive Humanoid Field-Phenotyping Robot for In-Field Rice Tiller Counting

Agriculture, 2022
Field phenotyping is a crucial process in crop breeding, and traditional manual phenotyping is labor-intensive and time-consuming. Therefore, many automatic high-throughput phenotyping platforms (HTPPs) have been studied.
Yixiang Huang, Pengcheng Xia, Liang Gong, Binhao Chen, Yanming Li, Chengliang Liu   +5 more
doaj   +1 more source

Multi-sensor and multi-temporal high-throughput phenotyping for monitoring and early detection of water-limiting stress in soybean. [PDF]

Plant Phenome J
Soybean production is susceptible to biotic and abiotic stresses, exacerbated by extreme weather events. Water limiting stress, i.e. drought, emerges as a significant risk for soybean production, underscoring the need for advancements in stress ...
Jones SE, Ayanlade TT, Fallen B, Jubery TZ, Singh A, Ganapathysubramanian B, Sarkar S, Singh AK.   +7 more
europepmc   +4 more sources

High-throughput phenotyping for breeding targets - Current status and future directions of strawberry trait automation

, 2022
Automated image-based phenotyping has become widely accepted in crop phenotyping, particularly in cereal crops, yet few traits used by breeders in the strawberry industry have been automated.
Daniel James Sargent (10844461), Katherine James (17160739), Adam Whitehouse (17248276), Grzegorz Cielniak (17155543)   +3 more
core   +5 more sources

ScreenSeed as a novel high throughput seed germination phenotyping method

Scientific Reports, 2021
A high throughput phenotyping tool for seed germination, the ScreenSeed technology, was developed with the aim of screening genotype responsiveness and chemical drugs.
Nicolas Merieux, Pierre Cordier, Marie-Hélène Wagner, Sylvie Ducournau, Sophie Aligon, Dominique Job, Philippe Grappin, Edwin Grappin   +7 more
doaj   +1 more source

Infra-red thermography for high throughput field phenotyping in Solanum tuberosum. [PDF]

PLoS ONE, 2013
The rapid development of genomic technology has made high throughput genotyping widely accessible but the associated high throughput phenotyping is now the major limiting factor in genetic analysis of traits.
Ankush Prashar, Jane Yildiz, James W McNicol, Glenn J Bryan, Hamlyn G Jones   +4 more
doaj   +1 more source

High Throughput Neurological Phenotyping with MetaMap [PDF]

, 2022
The phenotyping of neurological patients involves the conversion of signs and symptoms into machine readable codes selected from an appropriate ontology. The phenotyping of neurological patients is manual and laborious.
Hier, Daniel B., Yelugam, Raghu, Carrithers, Michael D., Wunsch II, Donald C.   +3 more
core   +1 more source

High-Throughput Estimation of Crop Traits - A review of ground and aerial phenotyping platforms [PDF]

, 2020
Crop yields need to be improved in a sustainable manner to meet the expected worldwide increase in population over the coming decades as well as the effects of anticipated climate change. Recently, genomics-assisted breeding has become a popular approach
Li, S., Hawkesford, M J, Varshney, R K, Hawkesford, Malcolm J., Yang, Tao, Li, Shaokun, Reynolds, M. P., Ming, B., Schmidhalter, Urs, Ming, Bo, Li, Zhenhai, Yang, T, Xie, Y, Jin, Xiuliang, Ming, B, Yang, T., Jin, X, Hawkesford, M.J., Schmidhalter, U, Xiao, Yonggui, Zarco-Tejada, P. J., Xiao, Y, Nie, C., Nie, Chengwei, Zarco-Tejada, P.J., Xiao, Y., Jin, X., Xie, Y., Li, Z., Reynolds, M.P., Reynolds, Matthew P., Schmidhalter, U., Varshney, R. V., Nie, C, Varshney, RK, Xie, Yongdun, Li, Z, Hawkesford, MJ, Zarco-Tejada, Pablo J., Varshney, R.K., Hawkesford, M. J., Reynolds, MP, Varshney, Rajeev K., Reynolds, M P, Li, S, Zarco-Tejada, P, Zarco-Tejada, PJ   +46 more
core   +1 more source