173 related articles for article (PubMed ID: 36438154)
21. A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery.
Huang H; Deng J; Lan Y; Yang A; Deng X; Zhang L
PLoS One; 2018; 13(4):e0196302. PubMed ID: 29698500
[TBL] [Abstract][Full Text] [Related]
22. Deep learning for detecting herbicide weed control spectrum in turfgrass.
Jin X; Bagavathiannan M; Maity A; Chen Y; Yu J
Plant Methods; 2022 Jul; 18(1):94. PubMed ID: 35879797
[TBL] [Abstract][Full Text] [Related]
23. Effectiveness of vegetation indices and UAV-multispectral imageries in assessing the response of hybrid maize (Zea mays L.) to water deficit stress under field environment.
Pipatsitee P; Tisarum R; Taota K; Samphumphuang T; Eiumnoh A; Singh HP; Cha-Um S
Environ Monit Assess; 2022 Nov; 195(1):128. PubMed ID: 36402920
[TBL] [Abstract][Full Text] [Related]
24. Reflectance Estimation from Multispectral Linescan Acquisitions under Varying Illumination-Application to Outdoor Weed Identification.
Amziane A; Losson O; Mathon B; Dumenil A; Macaire L
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34064243
[TBL] [Abstract][Full Text] [Related]
25. Improving the accuracy of cotton seedling emergence rate estimation by fusing UAV-based multispectral vegetation indices.
Li T; Wang H; Cui J; Wang W; Li W; Jiang M; Shi X; Song J; Wang J; Lv X; Zhang L
Front Plant Sci; 2024; 15():1333089. PubMed ID: 38601301
[TBL] [Abstract][Full Text] [Related]
26. Integrated pest management and weed management in the United States and Canada.
Owen MD; Beckie HJ; Leeson JY; Norsworthy JK; Steckel LE
Pest Manag Sci; 2015 Mar; 71(3):357-76. PubMed ID: 25346235
[TBL] [Abstract][Full Text] [Related]
27. Multimodal remote sensing application for weed competition time series analysis in maize farmland ecosystems.
Quan L; Lou Z; Lv X; Sun D; Xia F; Li H; Sun W
J Environ Manage; 2023 Oct; 344():118376. PubMed ID: 37329583
[TBL] [Abstract][Full Text] [Related]
28. Herbicides do not ensure for higher wheat yield, but eliminate rare plant species.
Gaba S; Gabriel E; Chadœuf J; Bonneu F; Bretagnolle V
Sci Rep; 2016 Jul; 6():30112. PubMed ID: 27453451
[TBL] [Abstract][Full Text] [Related]
29. Rice allelopathy in weed management - An integrated approach.
Patni B; Chandra H; Mishra AP; Guru SK; Vitalini S; Iriti M
Cell Mol Biol (Noisy-le-grand); 2018 Jun; 64(8):84-93. PubMed ID: 29981689
[TBL] [Abstract][Full Text] [Related]
30. Agricultural intensification and climate change have increased the threat from weeds.
Storkey J; Mead A; Addy J; MacDonald AJ
Glob Chang Biol; 2021 Jun; 27(11):2416-2425. PubMed ID: 33759302
[TBL] [Abstract][Full Text] [Related]
31. Evaluation of allelopathic potential and quantification of momilactone A,B from rice hull extracts and assessment of inhibitory bioactivity on paddy field weeds.
Chung IM; Kim JT; Kim SH
J Agric Food Chem; 2006 Apr; 54(7):2527-36. PubMed ID: 16569039
[TBL] [Abstract][Full Text] [Related]
32. Quantifying efficacy and limits of unmanned aerial vehicle (UAV) technology for weed seedling detection as affected by sensor resolution.
Peña JM; Torres-Sánchez J; Serrano-Pérez A; de Castro AI; López-Granados F
Sensors (Basel); 2015 Mar; 15(3):5609-26. PubMed ID: 25756867
[TBL] [Abstract][Full Text] [Related]
33. Influence of organic rice production mode on weed composition in the soil seed bank of paddy fields.
Gao P; Wang H; Deng S; Dong E; Dai Q
Front Plant Sci; 2022; 13():1056975. PubMed ID: 36479513
[TBL] [Abstract][Full Text] [Related]
34. WRA-Net: Wide Receptive Field Attention Network for Motion Deblurring in Crop and Weed Image.
Yun C; Kim YH; Lee SJ; Im SJ; Park KR
Plant Phenomics; 2023; 5():0031. PubMed ID: 37287583
[TBL] [Abstract][Full Text] [Related]
35. Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices.
Zhang Y; Han W; Niu X; Li G
Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795309
[TBL] [Abstract][Full Text] [Related]
36. Pre-planting weed detection based on ground field spectral data.
Pott LP; Amado TJ; Schwalbert RA; Sebem E; Jugulam M; Ciampitti IA
Pest Manag Sci; 2020 Mar; 76(3):1173-1182. PubMed ID: 31587478
[TBL] [Abstract][Full Text] [Related]
37. Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields.
Ma X; Deng X; Qi L; Jiang Y; Li H; Wang Y; Xing X
PLoS One; 2019; 14(4):e0215676. PubMed ID: 30998770
[TBL] [Abstract][Full Text] [Related]
38. Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management.
Hunter JE; Gannon TW; Richardson RJ; Yelverton FH; Leon RG
Pest Manag Sci; 2020 Apr; 76(4):1386-1392. PubMed ID: 31622004
[TBL] [Abstract][Full Text] [Related]
39. Evaluation of weed control efficacy and crop safety of the new HPPD-inhibiting herbicide-QYR301.
Wang H; Liu W; Zhao K; Yu H; Zhang J; Wang J
Sci Rep; 2018 May; 8(1):7910. PubMed ID: 29785001
[TBL] [Abstract][Full Text] [Related]
40. Multi-year weed community dynamics and rice yields as influenced by tillage, crop establishment, and weed control: Implications for rice-maize rotations in the eastern Gangetic plains.
Hossain K; Timsina J; Johnson DE; Gathala MK; Krupnik TJ
Crop Prot; 2020 Dec; 138():105334. PubMed ID: 33273751
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
