Results 201 to 210 of about 534,227 (288)

Weedy (red) rice: an emerging constraint to global rice production

, 2015
Ongoing increases in the human population necessitate that rice will continue to be a critical aspect of food security for the twenty-first century. While production must increase in the coming decades to meet demand, such increases will be accompanied by diminished natural resources and rising production costs that will alter how rice is grown and ...
L. H. Ziska, D. R. Gealy, N. Burgos, A. L. Caicedo, J. Gressel, A. L. Lawton Rauh, L. A. Avila, G. Theisen, J. Norsworthy, FERRERO, Aldo, VIDOTTO, Francesco, D. E. Johnson, F. G. Ferreira, E. Marchesan, V. Menezes, M. A. Cohn, S. Linscombe, L. Carmona, R. Tang, A. Merotto   +19 more
openaire   +3 more sources

The Rice Thresher, Vol. 101, No. 7, Ed. 1 Wednesday, October 9, 2013

, 2013
twelve pages : ill. ; page 17 x 10 3/4 in.A weekly student newspaper from the Rice University in Houston, Texas that includes campus news and commentaries along with ...

core  

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

The Rice Thresher, Vol. 99, No. 12, Ed. 1 Wednesday, November 19, 2014

, 2014
twelve pages : ill. ; page 17 x 10 3/4 in.A weekly student newspaper from the Rice University in Houston, Texas that includes campus news and commentaries along with ...

core  

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Inhibitory effects of N-trans-cinnamoyltyramine on growth of invasive weeds and weedy rice. [PDF]

Plant Environ Interact
Le VV, Nguyen AV, Luu DT, Fritschi FB, Nguyen CT, Ho TL.   +5 more
europepmc   +1 more source

The Rice Thresher, Vol. 100, No. 5, Ed. 1 Wednesday, September 23, 2015

, 2015
twelve pages : ill. ; page 17 x 10 3/4 in.A weekly student newspaper from the Rice University in Houston, Texas that includes campus news and commentaries along with ...

core  

Canola yield prediction and genotype selection using uncrewed aerial system multispectral imagery and machine learning models

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Evaluation and selection of canola breeding lines across multiple years and locations are vital for variety development. However, accurately measuring canola (Brassica napus L.) yield under field conditions is challenging due to end‐of‐season events such as rain, windstorms, and hail, as well as variability in plant maturity and pod shattering.
Mohammad Jony, Cristhian Perdigon, Md Fahad Hasan, Paulo Flores, Mukhlesur Rahman   +4 more
wiley   +1 more source

Landrace introgression contributed to the recent feralization of weedy rice in East China. [PDF]

Plant Commun
Zhu M, Yong K, Xu K, Cong J, Zhou X, Liu K, Wang X, Fan L, Olsen KM, Huang X, Zhou X, Qiu J.   +11 more
europepmc   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source