Results 41 to 50 of about 1,165,106 (235)
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing
Plant Phenomics, 2022 Wheat yield and grain protein content (GPC) are two main optimization targets for breeding and cultivation. Remote sensing provides nondestructive and early predictions of yield and GPC, respectively.Zhuangzhuang Sun, Qing Li, Shichao Jin, Yunlin Song, Shan Xu, Xiao Wang, Jian Cai, Qin Zhou, Yan Ge, Ruinan Zhang, Jingrong Zang, Dong Jiang +11 moredoaj +1 more sourceWhat is cost-efficient phenotyping? Optimizing costs for different scenarios [PDF]
, 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, Aaron Bostrom, Aitkenhead, Argelia Lorence, Barker, Berni, Bitella, Brisson, Busemeyer, Cabrera-Bosquet, Cendrero-Mateo, Chenu, Claude Welcker, Confalonieri, Cooper, Cooper, Crain, Crain, Daniel Reynolds, Deery, Deery, Duan, Easlon, Fiorani, Francesco Cellini, François Tardieu, Frederic Baret, Furbank, Gracia-Romero, Grimstad, Guo, Harrison, Hawkesford, Holman, Howse, hristian Rose, Intaravannea, Ishihara, Jensen, Ji Zhou, Jin, Jonckheere, Joshua Ball, Kelly, Khanna, Kirchgessner, Klukas, Koji Noshita, Komyshev, Kuhlgert, Lacube, Li, Li, Lin, Malambo, Mark Mueller-Linow, Mehdi Khafif, Millet, Murigneux, Müller-Linow, Pask, Phenotyping, Pound, Pound, Pradal, Reynolds, Rousseau, Sadras, Sankaran, Shafiekhani, Singh, Stark, Svensgaard, Tardieu, Tardieu, Vadez, van der Walt, Verger, Villarrubia, Watanabe, Weiss, White, Xu, Zhou, Ćwiek-Kupczyńska +84 morecore +3 more sourcesApplications of Multi-Omics Technologies for Crop Improvement
Frontiers in Plant Science, 2021 Multiple “omics” approaches have emerged as successful technologies for plant systems over the last few decades. Advances in next-generation sequencing (NGS) have paved a way for a new generation of different omics, such as genomics, transcriptomics, and Yaodong Yang, Mumtaz Ali Saand, Mumtaz Ali Saand, Liyun Huang, Walid Badawy Abdelaal, Jun Zhang, Yi Wu, Jing Li, Muzafar Hussain Sirohi, Fuyou Wang +9 moredoaj +1 more sourceCombining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production:AirSurf-Lettuce [PDF]
, 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, Ball, Joshua, Bauer, Alan, Bostrom, Aaron George, Cheng, Tao, Kirwan, Jacob, Laycock, Stephen, Rojas, Sergio Moreno, Zhou, Ji +8 morecore +2 more sourcesOmics for the Improvement of Abiotic, Biotic, and Agronomic Traits in Major Cereal Crops: Applications, Challenges, and Prospects
Plants, 2021 Omics technologies, namely genomics, transcriptomics, proteomics, metabolomics, and phenomics, are becoming an integral part of virtually every commercial cereal crop breeding program, as they provide substantial dividends per unit time in both pre ...Balwinder Kaur, Karansher S. Sandhu, Roop Kamal, Kawalpreet Kaur, Jagmohan Singh, Marion S. Röder, Quddoos H. Muqaddasi +6 moredoaj +1 more sourceOpportunities and limitations of crop phenotyping in southern european countries [PDF]
, 2019 ReviewThe Mediterranean climate is characterized by hot dry summers and frequent droughts.
Mediterranean crops are frequently subjected to high evapotranspiration demands,
soil water deficits, high temperatures, and photo-oxidative stress.Baris Uzilday, Carla Pinheiro, Carla Pinheiro, Francesco Loreto, Ismail Turkan, Joaquim Miguel Costa, Jorge Marques da Silva, Maria Margarida Oliveira, Matilde Barón, Matthew Haworth, Mauro Centritto, Photini Mylona +11 morecore +3 more sourcesChallenges and opportunities for quantifying roots and rhizosphere interactions through imaging and image analysis [PDF]
, 2014 The morphology of roots and root systems influences the efficiency by which plants acquire nutrients and water, anchor themselves and provide stability to the surrounding soil. Plant genotype and the biotic and abiotic environment significantly influence Abbas-Zadeh, Adu, al Hagrey, Amato, Armengaud, Asseng, Bailey, Balasubramanian, Baldwin, Bao, Barton, Basu, Bates, Batey, Bauer, Beemster, Bengough, Bengough, Bengough, Benjamin, Berendsen, Bingham, Bloemberg, Blossfeld, Blossfeld, Blossfeld, Blossfeld, Bohn, Bois, Bottomley, Bougourd, Bovina, Brady, Brooks, Brown, Bruand, Burton, Burton, Caldwell, Carminati, Carminati, Carminati, Chaparro, Chapman, Clark, Clark, Clark, Clark, Czarnes, Czymmek, Dai, Dannoura, Darwin, Dechamps, Delhaize, Delin, Den Herder, Dhondt, Dietrich, Dixit, Dong, Donner, Downie, Downie, Draye, Dubrovsky, Duncan, Ehlers, Eickhorst, Faget, Faget, Faget, Fang, Fang, Federici, Fiorani, Fisher, Frangi, French, French, Gage, Galkovskyi, Gamalero, Garbout, Gasch, Genre, George, Goh, Gomiero, Gregory, Gregory, Gregory, Grose, Grzesiak, Hainsworth, Haling, Hammond, Hamza, Hamza, Hapca, Harris, Haynes, Heeraman, Herrera, Hiltner, Houle, Hu, Huisken, Humphris, Hund, Ishikawa, Jahnke, Jassogne, Johnson, Kaestner, Kell, Ketcham, Keyes, King, Kiser, Kreike, Kuchenbuch, Kutschera, Lambers, Lebreton, Lee, Lind, Lobet, Lobet, Lontoc-Roy, Lopez-Bucio, Loudet, Luster, Lynch, Macfall, Macfall, Mairhofer, Maizel, Martino, McKenzie, Metscher, Mir, Mooney, Moradi, Moradi, Moter, Mullen, Nagel, Neumann, Nonomura, Okumoto, Ortiz-Ribbing, Osmont, Oswald, Perret, Pierret, Pierret, Pierret, Pohlmeier, Poon, Ray, Reddy, Redjala, Reynolds, Roberts, Rochat, Rogers, Rudolph, Rudolph, Saini, Santi, Santner, Schmidt, Segal, Sena, Sezgin, Sharpe, Shi, Smit, Spohn, Stromberg, Tan, Thorisson, Tilman, Trachsel, Tracy, Tracy, Tracy, Tracy, Tsaftaris, Tumlinson, Vacheron, Valentine, Valentine, Valentine, Valentine, Veen, Villordon, Vollsnes, Walter, Walter, Wang, Watt, Watt, Watt, Weele, Wells, White, White, White, Wildenschild, Willatt, Willatt, Willatt, Wojciechowski, Wu, Wuyts, Yang, Zappala, Zhang, Zhu +220 morecore +3 more sourcesCropSight: A scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management [PDF]
, 2019 Background: High-quality plant phenotyping and climate data lay the foundation of phenotypic analysis and genotype-environment interaction, providing important evidence not only for plant scientists to understand the dynamics between crop performance ...Allen, Auernhammer, Batchelar, Bevan, Bongiovanni, Busemeyer, Chen, Chenu, Cobb, Cooper, de Fraiture, Elliott, Fiorani, Furbank, Gubbi, Humplík, Jones, Karp, King, Klukas, Krasner, Kuhlgert, Lewandowski, Lindström, Lobell, Nagano, Neveu, Nugroho, Reynolds, Reynolds, Reynolds, Ribaut, Ronacher, Roy, Tardieu, Taylor, Tester, The Government Office for Science, UK Government Office for Science, Vadez, Villarrubia, Virlet, Watson, White, Yin, Zato, Zhou, Zhou +47 morecore +1 more source
