Robotic weeders can improve weed control options for specialty crops

被引:73
作者
Fennimore, Steven A. [1 ]
Cutulle, Matthew [2 ]
机构
[1] Univ Calif Davis, Dept Plant Sci, 1636 East Alisal St, Salinas, CA 93905 USA
[2] Clemson Univ, Dept Plant & Environm Sci, Coastal Res & Educ Ctr, Charleston, SC USA
关键词
robotic weeders; disruptive technology; specialty crops; physical weed control; robotics; FIELD; CHALLENGES; INDUSTRY; MUTANTS; LETTUCE; FUTURE;
D O I
10.1002/ps.5337
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops do not have access to effective herbicides. High-value fruit and vegetable crops represent small markets and high potential liability in the case of herbicide-induced crop damage. Meanwhile, conventional and organic specialty crop producers are experiencing labor shortages and higher manual weeding costs. Robotic weeders are promising new weed control tools for specialty crops, because they are cheaper to develop and, with fewer environmental and human health risks, are less regulated than herbicides. Now is the time for greater investment in robotic weeders as new herbicides are expensive to develop and few in number, organic crops need better weed control technology and governments are demanding reduced use of pesticides. Public funding of fundamental research on robotic weeder technology can help improve weed and crop recognition, weed control actuators, and expansion of weed science curricula to train students in this technology. Robotic weeders can expand the array of tools available to specialty crop growers. However, the development of robotic weeders will require a broader recognition that these tools are a viable path to create new weed control tools for specialty crops. (c) 2019 Society of Chemical Industry
引用
收藏
页码:1767 / 1774
页数:8
相关论文
共 46 条
[11]  
Christensen CM, 2015, HARVARD BUS REV, V93, P44
[12]  
Clancy M., 2016, AMBER WAVES
[13]  
Cloutier DC, 2007, NON CHEMICAL WEED MANAGEMENT: PRINCIPLES, CONCEPTS AND TECHNOLOGY, P111, DOI 10.1079/9781845932909.0111
[14]   Evaluation of a Cryogenic Sprayer Using Liquid Nitrogen and a Ballasted Roller for Weed Control [J].
Cutulle, Matthew A. ;
Armel, Gregory R. ;
Brosnan, James T. ;
Kopsell, Dean A. ;
Hart, William E. ;
Vargas, J. Javier ;
Gibson, Lori A. ;
Messer, Rebecca E. ;
McLemore, Alex J. ;
Duncan, H. Adam .
JOURNAL OF TESTING AND EVALUATION, 2013, 41 (06) :869-874
[15]   Are herbicides a once in a century method of weed control? [J].
Davis, Adam S. ;
Frisvold, George B. .
PEST MANAGEMENT SCIENCE, 2017, 73 (11) :2209-2220
[16]   Plant species classification using deep convolutional neural network [J].
Dyrmann, Mads ;
Karstoft, Henrik ;
Midtiby, Henrik Skov .
BIOSYSTEMS ENGINEERING, 2016, 151 :72-80
[17]   Fifty years of herbicide research: comparing the discovery of trifluralin and halauxifen-methyl [J].
Epp, Jeffrey B. ;
Schmitzer, Paul R. ;
Crouse, Gary D. .
PEST MANAGEMENT SCIENCE, 2018, 74 (01) :9-16
[18]   Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging [J].
Feng, Xuping ;
Peng, Cheng ;
Chen, Yue ;
Liu, Xiaodan ;
Feng, Xujun ;
He, Yong .
SCIENTIFIC REPORTS, 2017, 7
[19]   Weed control in glyphosate-tolerant lettuce (Lactuca sativa) [J].
Fennimore, SA ;
Umeda, K .
WEED TECHNOLOGY, 2003, 17 (04) :738-746
[20]   Herbicide-resistant weeds unlikely in vegetable crops [J].
Fennimore, Steve ;
Smith, Richard ;
Le Strange, Michelle .
CALIFORNIA AGRICULTURE, 2014, 68 (04) :150-+