scholarly journals Automated Weed Detection Systems: A Review

2020 ◽  
Author(s):  
Saraswathi Shanmugam ◽  
Eduardo Assunção ◽  
Ricardo Mesquita ◽  
André Veiros ◽  
Pedro D. Gaspar
Keyword(s):  
Weed Control ◽  
Food Production ◽  
Crop Production ◽  
Control Methods ◽  
Weed Detection ◽  
Conventional Agriculture ◽  
Detection Systems ◽  
Efficient Reduction ◽  
Production Research ◽  
And Control

A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control. Keywords: Detection, Weed, Agriculture 4.0, Computational vision, Robotics

Tillage based, site-specific weed control for conservation cropping systems

2020 ◽  
Vol 34 (5) ◽  
pp. 704-710
Author(s):  
Michael J. Walsh ◽  
Caleb C. Squires ◽  
Guy R. Y. Coleman ◽  
Michael J. Widderick ◽  
Adam B. McKiernan ◽  
...  
Keyword(s):  
Weed Control ◽  
Crop Production ◽  
Large Scale ◽  
Cropping Systems ◽  
Small Scale ◽  
Growth Stages ◽  
Weed Detection ◽  
Site Specific ◽  
Detection Systems ◽  
Herbicide Treatments

AbstractAustralian conservation cropping systems are practiced on very large farms (approximately 3,000 ha) where herbicides are relied on for effective and timely weed control. In many fields, though, there are low weed densities (e.g., <1.0 plant 10 m−2) and whole-field herbicide treatments are wasteful. For fallow weed control, commercially available weed detection systems provide the opportunity for site-specific herbicide treatments, removing the need for whole-field treatment of fallow fields with low weed densities. Concern about the sustainability of herbicide-reliant weed management systems remain and there has not been interest in the use of weed detection systems for alternative weed control technologies, such as targeted tillage. In this paper, we discuss the use of a targeted tillage technique for site-specific weed control in large-scale crop production systems. Three small-scale prototypes were used for engineering and weed control efficacy testing across a range of species and growth stages. With confidence established in the design approach and a demonstrated 100% weed-control potential, a 6-m wide pre-commercial prototype, the “Weed Chipper,” was built incorporating commercially available weed-detection cameras for practical field-scale evaluation. This testing confirmed very high (90%) weed control efficacies and associated low levels (1.8%) of soil disturbance where the weed density was fewer than 1.0 plant 10 m−2 in a commercial fallow. These data established the suitability of this mechanical approach to weed control for conservation cropping systems. The development of targeted tillage for fallow weed control represents the introduction of site-specific, nonchemical weed control for conservation cropping systems.

scholarly journals (416) Weed Management in Organic Sweet Corn

HortScience ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 1071E-1072
Author(s):  
Anthony Silvernail
Keyword(s):  
Weed Control ◽  
Weed Management ◽  
Sweet Corn ◽  
Management Strategies ◽  
Organic Production ◽  
Control Methods ◽  
Weed Biomass ◽  
Corn Gluten ◽  
And Control ◽  
Smooth Pigweed

Organic weed control in direct seeded vegetables depends on management strategies that control weed germination or growth which depletes the weed seedbank. In 2004, a randomized complete-block experiment conducted on land transitioning to organic production examined the effects of tillage and control treatments on weed pressure in sweet corn [Zeamays (L.) cv. Silver Queen]. The two tillage treatments consisted of conventional (moldboard and rototill) and spader tillage. Weed control treatments included a weed free control, a spring-tine weeder, rolling cultivator, row flamer, stale seedbed, and corn gluten meal. In August, the weed infestation was primarily goose grass [Eleusineindica (L.) Gaertn.], crab grass [Digitariasanguinalis (L.) Scop.], giant foxtail (Setariafaberi Herrm.), and smooth pigweed [Amaranthushybridus (L.)] species. Dried weed weights indicated that smooth pigweed constituted about 80% of the total weed biomass in all but the control and flamer treatments. Plots managed with the spring-tine weeder or corn gluten had twice the weed biomass of those managed with the rolling cultivator and flamer. The rolling cultivator and control treatments produced equivalent husked corn yields (6.9 t·ha-1); yields were reduced by the other weed control methods. At 5.4 t·ha-1, yields in the flamer treatment were the lowest among all weed control methods. The flamer suppressed both weeds and the crop, which may preclude its utility for sweet corn production. Results demonstrated that the rolling cultivator provided the best weed control without negatively affecting potential yields.

INFLUENCE OF INTER-ROW SPACING AND WEED CONTROL METHODS IN GROUNDNUT (Arachis hypogeal (L.)

2017 ◽  
Vol 16 (1) ◽  
pp. 86-95
Author(s):  
J. A. ADIGUN ◽  
O. R. ADEYEMI ◽  
S. T. O., LAGOKE ◽  
P. M. OLORUNMAIYE ◽  
O. S. DARAMOLA ◽  
...  
Keyword(s):  
Weed Control ◽  
Crop Production ◽  
Field Trials ◽  
Growth And Yield ◽  
Row Spacing ◽  
Control Methods ◽  
Weed Growth ◽  
Need To Evaluate ◽  
Weed Infestation ◽  
Main Plot

Weed competition has been identified as one of the major obstacles in crop production. The produc-tion of groundnut is limited by high weed infestation resulting in yield losses ranging from 50 - 80% in Nigeria. Hence, the need to evaluate integrated weed control in its production. Field trials were there-fore conducted at the Teaching and Research Farm of the Federal University of Agriculture, Abeokuta (7o 20’ N, 30 23’ E) to evaluate the influence of inter-row spacing and weed control methods on growth and yield of groundnut during the wet seasons in 2009 and 2010. The experiment was a Randomised Complete Design (RCBD) laid out in a split plot with three replications. The main plot treatment con-sisted of three inter-row spacings of 60 cm, 75 cm and 90 cm while the subplots included five weed control treatments of commercial formulation of metolachlor plus promethyne mixture (codal) at 1.0 kg a.i/ha, codal at 1.0 kg a.i./ha followed by supplementary hoe weeding at 6 weeks after sowing (WAS), codal at 2 kg a.i./ha, hoe weeding at 3, 6 and 9 WAS and a weedy check. Inter-row spacings of 60 cm and 75 cm reduced weed growth with consequent higher yields compared to the inter-row spacings of 90 cm in the early season of 2009. Application of codal at 1.0 kg a.i./ha followed by supplementary hoe weeding at 6 WAS combined with 60cm inter-row spacing gave effective weed control and higher groundnut pod yield than hoe-weeded control in both years of experimentation.

scholarly journals Control Systems and Electronic Instrumentation Applied to Autonomy in Wheelchair Mobility: The State of the Art

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6326
Author(s):  
Mauro Callejas-Cuervo ◽  
Aura Ximena González-Cely ◽  
Teodiano Bastos-Filho
Keyword(s):  
Obstacle Detection ◽  
Head Movements ◽  
Navigation Systems ◽  
Control Methods ◽  
Detection Systems ◽  
Technological Developments ◽  
Electronic Instrumentation ◽  
Recognition Systems ◽  
People With Physical Disabilities ◽  
And Control

Automatic wheelchairs have evolved in terms of instrumentation and control, solving the mobility problems of people with physical disabilities. With this work it is intended to establish the background of the instrumentation and control methods of automatic wheelchairs and prototypes, as well as a classification in each category. To this end a search of specialised databases was carried out for articles published between 2012 and 2019. Out of these, 97 documents were selected based on the inclusion and exclusion criteria. The following categories were proposed for these articles: (a) wheelchair instrumentation and control methods, among which there are systems that implement micro-electromechanical sensors (MEMS), surface electromyography (sEMG), electrooculography (EOG), electroencephalography (EEG), and voice recognition systems; (b) wheelchair instrumentation, among which are found obstacle detection systems, artificial vision (image and video), as well as navigation systems (GPS and GSM). The results found in this review tend towards the use of EEG signals, head movements, voice commands, and algorithms to avoid obstacles. The most used techniques involve the use of a classic control and thresholding to move the wheelchair. In addition, the discussion was mainly based on the characteristics of the user and the types of control. To conclude, the articles exhibited the existing limitations and possible solutions in their designs, as well as informing the physically disabled community about the technological developments in this field.

scholarly journals Plant-Seedling Classification Using Transfer Learning-Based Deep Convolutional Neural Networks

2020 ◽  
Vol 11 (4) ◽  
pp. 25-40
Author(s):  
Keshav Gupta ◽  
Rajneesh Rani ◽  
Nimratveer Kaur Bahia
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Weed Control ◽  
Food Production ◽  
Control Methods ◽  
Deep Convolutional Neural Networks ◽  
Weed Invasion ◽  
Testing Accuracy ◽  
Time Required ◽  
Growing Population

The ever-growing population of this world needs more food production every year. The loss caused in crops due to weeds is a major issue for the upcoming years. This issue has attracted the attention of many researchers working in the field of agriculture. There have been many attempts to solve the problem by using image classification techniques. These techniques are attracting researchers because they can prevent the use of herbicides in the fields for controlling weed invasion, reducing the amount of time required for weed control methods. This article presents use of images and deep learning-based approach for classifying weeds and crops into their respective classes. In this paper, five pre-trained convolution neural networks (CNN), namely ResNet50, VGG16, VGG19, Xception, and MobileNetV2, have been used to classify weed and crop into their respective classes. The experiments have been done on V2 plant seedling classification dataset. Amongst these five models, ResNet50 gave the best results with 95.23% testing accuracy.

scholarly journals Effectiveness of Alternative Control Methods for Tithonia diversifolia on Water Yam (Dioscorea alata) Plot

2019 ◽  
pp. 1-6
Author(s):  
O. S. Olabode ◽  
A. Ogunsola ◽  
O. S. Oladapo ◽  
A. O. Sangodele
Keyword(s):  
Weed Control ◽  
Crop Production ◽  
Block Design ◽  
Growth And Yield ◽  
Infested Soil ◽  
Control Methods ◽  
Tithonia Diversifolia ◽  
Plastic Mulch ◽  
Black Plastic ◽  
Water Yam

Tithonia diversifolia has become a significant agronomic problem to optimum arable crop production in Nigeria which has necessitated effective and timely control if the good yield is expected on infested soil. This study compared the performance of water yam under different weed control methods on Tithonia infested plot at Ogunba village near Baaya-Oje in Surulere Local Government area of Ogbomoso, Oyo State during the 2015 growing season. Eight (8) control treatments were evaluated namely: Weed control with Atrazine, Diuron, 2 hoe weeding, 3 hoe weeding, Black plastic mulch, grass mulch, Diuron + Atrazine + Plastic mulch (IWM) and unweeded plot. The three (3) hoe weeding and the unweeded plot served as the control treatments. The experiment was laid out in a Randomized complete block design with three replicates. Yam setts were planted at a spacing of    1 m x 1 m to give a population of 10000 plants/ha. Atrazine and Diuron were applied at the rate of 2.5 kg a.i/ha, 2 hoe weeding was done at 3 and 6 weeks after planting (WAP), 3 hoe weeding was done at 3,6 and 9 WAP, while grass mulch was applied at the rate of 5 tons/ha. In IWM, Atrazine and Diuron were applied each at the half recommended rate (1.25 kg/ha) before applying plastic mulch. The treatments were applied pre-emergently on a rain wetted soil after planting. Data were collected on growth and yield parameters of yam as well as on Tithonia weed population and dry matter yield. Results showed that weed control methods significantly (P < 0.05) influenced water yam yield. The highest tuber yield (21 tons/ha) in plastic mulch was comparable to IWM (20 tons/ha), 3 hoe weeding (19 tons/ha) and 2 hoe weeding (18 tons/ha). Grass mulch (16 tons/ha), Diuron (15 tons/ha), Atrazine (14 tons/ha) were also not significantly (P > 0.05) different. Thus, it may be concluded that plastic much is the most efficient of the methods for weed control in yam. The implication of this finding is discussed.

Sensor-Controlled Hooded Sprayer for Row Crops

1998 ◽  
Vol 12 (2) ◽  
pp. 308-314 ◽  
Author(s):  
James E. Hanks ◽  
James L. Beck
Keyword(s):  
Weed Control ◽  
Crop Production ◽  
Production Systems ◽  
Bare Soil ◽  
Weed Detection ◽  
Row Crops ◽  
Spray System ◽  
Sensing Technology ◽  
Continuous Application ◽  
Commercial Size

Methods were developed and evaluated that utilize state of the art weed-sensing technology in row-crop production systems. Spectral differences in green living plants and bare soil allowed ‘real-time’ weed detection, with intermittent spraying of herbicide only where weeds were present. Sensor units were mounted in 0.7-m-wide hooded sprayers providing sensors with an unobstructed view of the area between soybean rows. Single hood and commercial-size eight-row systems were evaluated, and savings in glyphosate spray solution applied using sensors ranged from 63 to 85%, compared to conventional hooded spray systems with continuous application. Weed control by the sensor-controlled spray system was equal to the conventional system. This technology can significantly reduce herbicide usage and decrease production cost without reducing weed control.

The Contribution of Weed Science to Food Production in Great Britain

Weed Science ◽  
1970 ◽  
Vol 18 (6) ◽  
pp. 681-686 ◽  
Author(s):  
J. G. Elliott
Keyword(s):  
Land Use ◽  
Great Britain ◽  
Weed Control ◽  
Food Production ◽  
Crop Production ◽  
Historical Background ◽  
Weed Science ◽  
The Past ◽  
The Future ◽  
The Impact

British Agriculture has existed for at least a thousand years, and it would require a book to record the major developments in weed control. My concern today is with the events of the past 25 years during which weed control has become established as a science, and herbicides have been given a widespread introduction. I hope to set these events against a historical background as they relate to Great Britain, and thereafter, to draw out some thoughts on the impact that modern weed science is making and will make in the future on crop production and land use.

Impact of long-term trials on crop production research and education

2010 ◽  
Vol 58 (Supplement 1) ◽  
pp. 1-5 ◽  
Author(s):  
M. Jolánkai ◽  
F. Nyárai ◽  
K. Kassai
Keyword(s):  
Crop Production ◽  
Life Sciences ◽  
Ecological Models ◽  
Dynamic Databases ◽  
Production Research ◽  
Research And Education

Long-term trials have a twofold role in life sciences, acting as both live laboratories and public collections. Long-term trials are not simply scientific curios or the honoured relics of a museum, but highly valuable live ecological models that can never be replaced or restarted if once terminated or suspended. These trials provide valuable and dynamic databases for solving scientific problems. The present paper is intended to give a brief summary of the crop production aspects of long-term trials.

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