| |
DOI: | 10.1016/j.cropro.2023.106302 |
Web URL(s): | https://www.sciencedirect.com/science/article/pii/S0261219423001254 Last checked: 07/12/2023 Access conditions: Item is within a limited-access website https://www.sciencedirect.com/science/article/pii/S0261219423001254/pdfft Last checked: 07/12/2023 Requires: PDF Reader Access conditions: Item is within a limited-access website |
Publication Type:
| Refereed |
Author(s): | Jin, Xiaojun;
Liu, Teng;
Yang, Zhe;
Xie, Jiachao;
Bagavathiannan, Muthukumar;
Hong, Xiaowei;
Xu, Zhengwei;
Chen, Xi;
Yu, Jialin;
Chen, Yong |
Author Affiliation: | Jin: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China and Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China; Liu, Yang, Xie and Yu: Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, Shandong, China; Bagavathiannan: Department of Soil and Crop Sciences, Texas A&M University, College Station, TX; Xin Chen: Logistics Engineering College, Shanghai Maritime University, Shanghai, China; Hong and Yong Chen: College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, China |
Title: | Precision weed control using a smart sprayer in dormant bermudagrass turf |
Source: | Crop Protection. Vol. 172, October 2023, p. 106302 [1-8]. |
Publishing Information: | Amsterdam, Netherlands: Elsevier BV |
# of Pages: | 8 |
Keywords: | TIC Keywords: Application methods; Artificial neural networks; Broadcast treatment; Comparisons; Cynodon; Herbicide application; Precision application; Spraying equipment Author-Supplied Keywords: Site-specific herbicide application; Precision agriculture; Deep learning; Machine learning; CNN
|
Abstract/Contents: | "Precision herbicide application can substantially reduce herbicide input, thereby cutting chemical costs and minimizing adverse environmental impacts. A smart sprayer prototype was designed and developed for precision herbicide application in turf. This is the first study evaluating the performances of a precision sprayer for weed control in turf in field conditions. The objectives of this research were to 1) evaluate and compare the performances of the traditional broadcast application and a newly developed precision spraying technology for control of weeds in dormant bermudagrass turf, and 2) investigate the influence of weed coverage on the spray volume requirement when using the precision spraying technology developed here. DenseNet, GoogLeNet, and ResNet were evaluated for discriminating the grid cells containing weeds (spray) with the grid cells containing bermudagrass turf exclusively (nonspray). All three neural networks had an F1 score above 0.989 in the validation datasets. ResNet outperformed DenseNet and GoogLeNet with the highest F1 scores (ā„0.992) in the testing datasets. Applying herbicide only to turf areas infested with weeds saved a significant amount of the herbicide, while achieving the same level of weed control compared to the broadcast application. The developed precision spraying technology performed well and effectively reduced the amount of herbicide input applied to the dormant bermudagrass turf, compared to the broadcast herbicide application. Overall, the smart sprayer prototype developed in this research can be used for precision weed control in dormant turf, although its design needs to be further optimized." |
Language: | English |
References: | 57 |
Note: | Pictures, color Tables Graphs |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Jin, X., T. Liu, Z. Yang, J. Xie, M. Bagavathiannan, X. Hong, et al. 2023. Precision weed control using a smart sprayer in dormant bermudagrass turf. Crop Prot. 172:p. 106302 [1-8]. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=330258 |
| If there are problems with this record, send us feedback about record 330258. |
| Choices for finding the above item: |
| DOI: 10.1016/j.cropro.2023.106302 |
| Web URL(s): https://www.sciencedirect.com/science/article/pii/S0261219423001254 Last checked: 07/12/2023 Access conditions: Item is within a limited-access website https://www.sciencedirect.com/science/article/pii/S0261219423001254/pdfft Last checked: 07/12/2023 Requires: PDF Reader Access conditions: Item is within a limited-access website |
| MSU catalog number: b24080196 |
| Find from within TIC: Physical sequential file in TIC. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |