Weed Control Methods Research Articles

Effect of weed control treatments and planting method on the yield and yield parameters of rice in Sudan savannah of Nigeria.

The experimentswerecarried out in 2020 and 2021 rainy seasons to determine the performance ofrice as influenced by planting method and weed control treatments. The treatments consists of three planting methods (dibbling broadcasting and transplanting and weed control methods (hoe weeding, pre emergence application of gramazone (200g/L of paraquat/ha), pre and post emergence of gramazone (200g/L of paraquat/ha) and propanil (360g/L of propanil + 200g/L 2-4D) and weedy check). The treatments were laid out in a randomized complete block design (RCBD) and were replicated three times.The results revealed the plots weeded twice and those treated with pre and post emergence application of gramazone and propanil respectively resulted in more number of spikelet per panicle, longer panicle, increase in number of effective tillers per hill, more grains per panicle and grain yield. The effect of planting methods on the rice growth revealed that rice sown under transplanting methods gave more number of effective tiler per hill, longer panicle, more grain per panicle and increases in grain yield compared to the others methods while broadcasting resulted in the least value of the parameters than others methods.Therefore,it can be concluded that rice farmers in the sudan savanna zone of Nigeria can adoptpre and post emergence application of gramazone and propanil with transplanting method since the combination of these treatments gave better weed control, growth and yield of paddy rice. Key words: Herbicide, length of panicle, number of grain per panicle andgrain yield

Weeding Effectiveness and Changes in Soil Physical Properties Using Inter-Row Hoeing and a Robot

Weed control is one of the most important technological operations to ensure crop yield and quality in ecological sugar beet production. However, conventional mechanical weed control is labor- and time-intensive and has adverse effects on the soil and the environment. The aim of this study was to experimentally investigate the influence of conventional mechanical and robotic weed control systems on soil properties and to assess the effectiveness of these different weed control methods in ecological sugar beet production. This study examines two different weed control systems: robotic weed control (RWC) and conventional weed control (CWC). Field experimental studies were carried out with a solar-powered field robot and conventional inter-row cultivation (CWC1—first cultivation, CWC2—second cultivation) to determine the effectiveness of mechanical weed control in ecological sugar beet crops. The influence of different weed control systems on the physical properties of the soil in the contact zone between the soil and the tires of weed control machines was investigated. The results showed that the average weed control effectiveness inter-row was higher in the RWC (81%) compared to that in the CWC2 (46%). The overall weed control effectiveness of the robotic weed control in the sugar beet inter-row and intra-row was around 49%. The measurements showed that the weed control process reduced the soil moisture and temperature in all treatments tested. Experimental studies have confirmed that the weed control operation, although carried out with relatively lightweight robots, also has an impact on soil bulk density. RWC weed control resulted in an average increase of 0.16 g cm–3 in soil bulk density in the topsoil layer (0–10 cm) after weeding. Both CWC1 and RWC increased soil penetration resistance (PR). For CWC1, the average increase in topsoil PR after weed control was 20%, while for RWC, the increase was marginal, only around 1%. Automated precision weed control by self-propelled solar-powered field robots is an important solution to reduce the need for tedious and time-consuming manual weeding.

Weed Dynamics, Growth, Yield and Correlation Study as Affected by Weed Control Methods in Soybean [Glycine max (L.) Merril.

Background: Soybean being a rainy season crops, is heavily infested with weeds thus ultimately affect the crop yield and economic return. Methods: Field experiment was conducted at Birsa Agricultural University, Ranchi during rainy season of 2019 and 2020 under randomized block design replicated thrice with eight different weed control methods viz., imazathapyr 75 g/ha at 20 days after sowing (DAS), imazathapyr 35% + imazamox 35% ready mix (RM) 75 g/ha at 20 DAS, quizalofop ethyl 50 g/ha at 20 DAS, sodium acifluorfen 16.5% + clodinafop propargyl 8% (RM) 125 g/ha at 20 DAS, imazathapyr 2% + pendimethalin 30% (RM) 1 kg/ha at 20 DAS, hand weeding at 20 and 40 DAS, weed free (three hand weeding at 20, 40 and 60 DAS) and weedy check. Result: Among herbicides, application of quizalofop ethyl 50 g/ha recorded higher growth and yield attributes of soybean due to reduced weed density and weed dry matter which resulted in higher weed control efficiency, weed management index, agronomic management index, thereby recorded maximum soybean yield (2065 kg/ha), net return (₹ 54,743/ha) and B:C ratio (2.50). The soybean yield was negatively correlated with weed dry matter particularly with grassy as well as total weed dry matter while plant dry matter accumulation was strongly correlated with soybean yield.

Pumpkin and watermelon production constraints and management practices in Uganda

BackgroundWatermelons and pumpkins are cultivated in Uganda for their leaves, fruits, and seeds, thereby contributing to food, nutrition and income security. However, there is limited research and information on constraints affecting their production. This study assessed the current production constraints for watermelons and pumpkins, management practices, sources of production inputs to guide research and decision making in production of these crops.MethodologyWatermelon and pumpkin fields totalling 105 located in 28 districts from nine sub-regions of Uganda were surveyed. Purposive sampling was conducted based on the importance and availability of watermelon and pumpkin fields in the sub-regions using a questionnaire administered to farmers on different practices, management strategies, and current production constraints. Data were analysed to determine the relationship between the source of seed, sale of their produce, constraints, and control measures of biotic constraints in the different sub-regions.ResultsPumpkins and watermelons were grown by 85.7% and 14.3% of respondent farmers, respectively. The constraints as ranked by the farmers were pests, diseases, drought, high transport and labour costs. Bacterial wilt, downy mildews, anthracnose powdery mildews and virus diseases in this order were the most common and important disease constraints.The whitefly (Bemisia tabaci, Gennadius), order hemiptera family aleyrodidae, aphids (Myzus Persicae, Sulzer), order hemiptera family aphidadae, melon fly (Bactrocera cucurbitae, Coquillett), order diptera family tephritidae and cutworm (Agrotis ipsilon, Hufnagel), order lepidoptera family noctuidae, were reported as the most limiting pests of watermelon and pumpkin production. Mixing of several agrochemicals was observed in watermelon fields coupled with gross lack of knowledge of proper usage or purpose of these chemicals may result in pesticide resistance, health and environmental hazards.ConclusionPests, diseases, and drought constitute the main constraints affecting watermelon and pumpkin cultivation in Uganda. Whereas weeding using hand hoes is the most common method of weed control, application of ash was the main strategy for pest management in pumpkin, while in watermelons, pheromone traps and pesticides were frequently used.

Michigan Conifer Growers’ Perspectives on Disease Management

A survey of commercial nursery and Christmas tree growers was implemented online and by mail in 2018 to understand disease issues and information preferences. Overall, the majority of the respondents reported that they prefer online sources of information and many are using Extension bulletins and sources. Cultural, chemical, and weed control methods were considered extremely effective by participants and very few used biological control methods to control disease. Participants identified spruce decline, boxwood blight, and hemlock woolly adelgid as emerging disease threats, so future information to growers should focus on identification and management of these threats.

EFFECT OF WEED CONTROL METHODS AND SEEDLING GROWTH STAGESON THE GROWTHOF TRANSPLANTED RICE(Oryza sativa L.) IN DUTSE, JIGAWA STATE

The experiments were carried out in 2020 and 2021 rainy seasons to determine the performance of rice as influenced by seedling age and weed control treatments. The treatments consists of three seedling age (14, 21 and 28 day old seedling) and four weed control methods (hoe weeding, pre emergence application of gramozone (200g/L of paraquat/ha), pre and post emergence of gramozone (200g/L of paraquat/ha) and premix of propanil360g/L + 2,4_D 200g/L) and weedy check). The treatments were laid out in split-plot in a Randomized Complete Block Design (RCBD) and were replicated three times. The results revealed that the plots weeded twice and those treated with pre and post emergence application of gramozone and propanil respectively resulted in taller plant height, large leaf area, and more growth rate than the others weed control methods while weedy check gave the least value. The effect of seedling age on the rice growth revealed that rice transplanted under 14 days old seedling gave tallest plant height, high value of growth rate, relative growth rate and net assimilation value compared to the other methods while 28 days old seedling resulted in the least value of the parameters than others methods. Therefore, it can be concluded that rice farmers in the Sudan savanna zone of Nigeria can adopt pre and post emergence application of gramozone and propanil with transplanting 14 days old seedling since the combination of these treatments gave better weed control and growth of paddy rice.

Effects of temporary agroforestry systems and weeding techniques on the control of invasive species in Atlantic Forest restoration

The restoration of tropical forests is greatly in demand but is limited by the lack of feasible technologies. Forest restoration can be associated with a temporary, productive herbaceous layer. Here, we compared the use of temporary agroforestry systems (tAFS) with conventional forest restoration through seedling planting. We quantified the growth estimators of native forest tree species and the effectiveness of the two methods for controlling invasive grasses. Seedlings of 20 native tree species were planted in 72 rows of 60 m each, totaling 1148 individuals. The restoration methods of planting tree seedlings only or trees coupled with herbaceous species (annual crops), along with weed control methods (mechanical and chemical), were systematically established in 12 plots (7920 m2 for conventional techniques and 7920 m2 for tAFS) per treatment (3960 m2 each) and analyzed in a nested design using generalized mixed models. The chemical control of weeds was conducted using herbicides, and the mechanical control consisted of semimechanized mowing. The tAFS showed greater relative growth in both the height and diameter of native trees in comparison with the conventional method. Within the conventional restoration technique, chemical management led to an increased height of native trees and a decreased invasive biomass, but tAFS showed no differences between the invasive control methods. tAFS was efficient in ensuring the success of the tree seedlings and diminishing the invasive biomass, concomitant with the production of annual crops in tropical forest restoration.

Weed Control in Organic Farming

Summary Over the past few years, both producers and consumers have become increasingly interested in organic farming because conventional agriculture relies so heavily on the use of synthetic pesticides, thus causing environmental pollution. Weeds, as inevitable "companions" of cultivated plants, represent a major, everlasting issue in plant production. As organic plant production is legally regulated, the control of undesirable plants such as weeds is further complicated. Using the relevant literature, the purpose of this study is to survey the existing weed control methods in organic crop production. In order to be certified, organic plants have to be grown in the farming system without the application of synthetic herbicides and other chemicals that are commonly used in conventional production. This means that crop growers have to apply non-chemical, alternative methods of weed suppression, i.e. weed control based on the combination of cropping practices, mechanical control, and the use of bioherbicides. There is a large number of plant extracts with bioherbicidal activity, the effect of which is mostly attributed to the biological phenomenon of allelopathy, rendering such weed control sustainable, inexpensive, and environmentally friendly. Although bioherbicides are successfully used in organic farming worldwide, there are no registered bioherbicides in Serbia to date (according to the data of the Ministry of Agriculture, Forestry and Water Management of the Republic of Serbia). Both organic producers and experts should raise awareness of the importance of successful weed control to the health of cultivated plants, soil, beneficial organisms, and the entire ecosystem, which requires further research attention.

Deep learning-based precision agriculture through weed recognition in sugar beet fields

Weeds are among the major factors adversely affecting crop yield. Therefore, weed control with minimal environmental damage is a global concern. Traditional weed control methods are not cost-effective. Hence, precision agriculture proposes variable flow herbicide technology through regional weed management to distinguish weed and crop. In the present study, we employed the U-Net architecture, as a deep encoder-decoder convolutional neural network (CNN) for pixel-wise semantic segmentation of sugar beet, weed, and soil. We trained the U-Net architecture with ResNet50 as the encoder block using 1385 RGB images collected under different conditions and various heights. We utilized the combination of the dice and focal losses as a custom linear loss function to overcome imbalanced data and small area segmentation challenges. The structure of the dataset for the training process and using the custom loss function led to a model with the accuracy and intersection over union (IoU) score of 0.9606 and 0.8423, respectively. The results showed that using the image dataset with proper distribution and custom loss function can improve segmentation accuracy, especially in small regions. Furthermore, in an autonomous weed control robot, CNN-based automatic weed detection can be integrated into selective herbicide applications.

Physiological Fitness Associated to ACCase Target-Site Resistance Enhances Growth and Reproduction in Phalaris brachystachys

Short-spike canarygrass (Phalaris brachystachys (Link.)) from Iranian wheat fields has developed resistance to acetyl-coenzyme A carboxylase (ACCase) inhibitors due to a target-site mutation (Ile-1781-Thr). Target-site resistance mutations may confer pleiotropic effects in weeds. In this paper, the possible effect of the Ile-1781-Thr mutation on the ecological fitness during life cycles in P. brachystachys plants was investigated. ACCase genes of P. brachystachys populations resistant (R) and susceptible (S) to ACCase inhibitors were sequenced and the vegetative growth and reproductive characteristics of the plants were assessed. In the final growth stage (217 days after planting—DAP), R sub-population plants were 30 cm taller than the S plants. Additionally, the R sub-population produced up to 12 leaves and 2.8 tillers more per plant, and accumulated double the dry weight (2850 g m−2) compared to the S sub-population. The leaf area index (LAI) of the R sub-population was 1.1 times higher than that of the S sub-population. In addition, the net assimilation rate (NAR) and plant growth rate (PGR) between 114 and 182 DAP of the R sub-population were 0.11 and 13 g m−2 d−1 higher than the S sub-population, but the relative growth rate (RGR) was similar between R and S sub-populations. The number of spikes (6 vs. 3.8), the spike length (8.4 vs. 5.5), and number of seeds per plant (1276 vs. 751 seed plant−1) of the R sub-population were higher than the S ones, but the weight (3.25 g) and size (11.6 mm2) of 1000 seeds were similar between populations. The R sub-population of P. brachystachys exhibited higher plant growth and reproductive parameters than the S one, which may increase the frequency of resistance in the population in the absence of adequate weed-control methods.

Effect of combination of sowing methods and weed control methods on growth and yield of wheat (Triticum aestivum L.) and associated weeds

Effect of combination of sowing methods and weed control methods on growth and yield of wheat (Triticum aestivum L.) and associated weeds

Agri-Food Waste as a Method for Weed Control and Soil Amendment in Crops

The continued and extensive use of synthetic herbicides to control weeds to maximize crop yield is no longer sustainable, as it results in negative impacts on the environment and human health. Innovative sustainable and resilient food production systems should preserve resources and environmental health by incorporating alternative natural herbicides, recycling waste, and favoring a circular economy. The present work assesses the value of different organic waste (Urtica dioica residues, Vicia faba pods, spent coffee grounds, and corn cobs) as bioherbicides and fertilizers in different seasons through pot and field two-year sequential experiments. Pot assays revealed that V. faba pods, spent coffee grounds, and corn cob waste showed the best inhibitory effect, which were subsequently evaluated in the Spring–Summer and Autumn crops. In the field, spent coffee grounds reduced the biomass of total naturally-emerged weeds and stimulated crop growth under scarce rainfall and warm days. However, its effect varied under different environmental conditions. Spent coffee grounds can partially control weeds in the field, which valorizes them as a bioherbicide and boosts sustainable agriculture.

Increasing the competitiveness of vegetable crops to weeds by improving control methods

Weeds are a major threat in crop production, and controlling them in modern agriculture is critical to preventing crop losses and ensuring food security. Intensive farming practices, climate change and natural disasters affect weed dynamics, requiring a change in management practices. Existing methods are no longer viable due to lack of manpower; chemical control methods are limited by health hazards and the development of herbicide resistance in weeds. This article discusses some potential alternative weed control strategies in modern vegetable production that are feasible and effective. Increasing the competitiveness of vegetable crops through proper planning of agrotechnologies system, preventive, cultural and mechanical methods, development of competitive varieties, allelopathy, biological control and reduction of weed seed production at harvest will be a major aspect in sustainable weed management. Improving tillage regimes has long been considered the main measure of weed control. Control of weed seed production and weed injuriousness have been shown as potential tools to reduce weed seed germination and retention in the soil. The development of allelopathy has led to the emergence of new methods of weed control. The use of the allelopathic potential of crops also deserves mention in modern weed control methods. Thermal weed control is seen as a useful method. The role of bioherbicides as an integral part of sustainable weed management is emphasized. All of these strategies are viable for modern agriculture; however, choosing a specific method and using the right combinations will be the key to success. No strategy is perfect, and therefore an integrated approach can provide the best results. The adoption of such practices can improve the efficiency of farming systems in sustainable agricul- ture. A comprehensive method for protecting vegetable crops from weeds and ways to reduce the potential contamination of fields with seeds and weed seedlings are described. The optimal norms and technological features, conditions for the effective use of modern herbicides on crops and plantings of vegetable crops are given.

Hot foam: Evaluation of a new, non-chemical weed control option in perennial crops

Hot foam applications represent a new, smart concept in the field of thermal weed control. The aim of this study was to evaluate the efficacy of hot foam and other weed control methods in two olive groves in southern Greece (Pyrgos and Kalamata). The experiment was laid out in a randomized complete block design (RCBD) with six treatments and three replicates. Treatments were applied in the areas between trees, in the row and included mowing with a disc–flail mower, mulching with pruning residues (2.65 kg m–2), glyphosate (at 1,440 g a.e. ha–1), hot foam (13.33 L m–2), pelargonic acid (at 1,088 g a.i. ha–1; twice), and an untreated control. Two experimental runs were conducted at each site using the same treatment list. Malva parviflora L. and Sinapis arvensis L. were the predominant weeds in Pyrgos, while Urtica urens L., Galium aparine L., and Parietaria officinalis L. dominated in Kalamata. Site–experimental runs and treatments significantly affected NDVI and weed biomass (P–Value ≤ 0.001). Hot foam reduced weed biomass by up to 81, 88, 90, and 96% compared to mulching, mowing, pelargonic acid, and the untreated control, respectively. This treatment also reduced M. parviflora biomass by 75–88 and 92–93% compared to mowing and pelargonic acid, respectively, in Pyrgos and P. officinalis biomass by more than 80% in Kalamata compared to the above treatments. In all site–experimental runs, hot foam and glyphosate resulted in the lowest NDVI and weed biomass. The overall performance of hot foam was comparable to glyphosate, suggesting that this method is an environmentally friendly and effective, alternative method to control weeds in olive groves. Further research is required to optimize the use of hot foam for weed control in more perennial crops and under different soil and climatic conditions.

Weed Management Practices in Wheat (Triticum aestivum L.): A Review

Wheat is India’s second-largest staple food crop grown in different agro climatic zones within different crop sequences, as a result of which a diversity of weeds infests to this crop. Diversity of weeds including grassy, broadleaf weeds and sedges are mainly infested to the crop. Phalaris minor (grassy) and Rumex dentatus (broadleaf) are the most dominant weeds in northern region of country. For receiving fast results, use of herbicides is most popular method of weed control and used all over the world. But over reliance on herbicides has created several complications such as environmental quality deterioration, shifting in weed flora and development of herbicide resistant weeds. These problems can be abridged to a great extent by decreasing reliance on chemical method which can be done by integration of various cultural and mechanical methods to the weed management program. Various cultural practices such as nutrient management, seeding rate, spacing, cropping sequence, water management, sowing methods, sowing time and competitive varieties should be followed in such a way that crop plants utilize much more resources in comparison to weed plants. As a mechanical measure, Furrow Irrigated Raised Bed (FIRB) method and stale seed bed technique are recommended for effective weed management. Timely application of herbicides with recommended doses with the help of efficient spray technology improves the efficacy of herbicides. So with the help of Integrated Weed Management (IWM) i.e integration of various cultural, mechanical and chemical methods, we can efficiently managed the diverse weed flora in wheat crop.

WEED CONTROL IN IMPROVING CROP YIELD WITH TECHNOLOGICAL ADVANCEMENTS

The need for agricultural production is directly associated with the increased global population and limited agricultural land resources. Natural dependencies on weather & climatic conditions and factors like weeds, diseases, pests, or combinatorial issues play a significant role in the final agricultural yield. While disease and pest controls are relatively straightforward, weed control has more challenges since it coexists with crops as a contender of the same soil nutrition and favorable environment during the plant growth period. Weeds are detrimental to harvest, but it is manageable to protect through various biological, chemical, cultural, or physical mechanisms and compliant with ecological methods. Literature reveals that the weed control methods have few shortcomings, influencing overall crop production. However, the advent of precision technology in agriculture will provide a way to overcome such drawbacks. This article highlights the literature, uses various technological methods to control weeds more precisely and considers other factors influencing weed management. The study also highlights a brief covering the need for management and development of technology involved in weed management, with more thrust on identifying a few more prevailing weed control challenges in India and provision for futuristic planning to support the small farmers as end-users!

Non-Chemical Weed Control for Plant Health and Environment: Ecological Integrated Weed Management (EIWM)

Herbicide application has long been considered the most efficient weed control method in agricultural production worldwide. However, long-term use of agrochemicals has numerous negative effects on crops and the environment. Bearing in mind these negative impacts, the EU strategy for withdrawing many herbicides from use, and modern market demands for the production of healthy and safe food, there is a need for developing new effective, sustainable, and ecological weed control measures. To bring a fresh perspective on this topic, this paper aims to describe the most important non-chemical weed control strategies, including ecological integrated weed management (EIWM), limiting weed seed bank, site-specific weed management, mechanical weeding, mulching, crop competitiveness, intercropping, subsidiary crops, green manure, and bioherbicides.

Growth, Yield and Economics of Rainfed Clusterbean (Cyamopsis tetragonoloba) as Influenced by Various Mechanized Weed Management Practices

Background: Clusterbean is one of the most important crop of arid and semi-arid region of India. It is mainly grown for vegetable, manure, fodder and seed purpose. Seeds of clusterbean contain galactomann (stored in endosperm) which has industrial uses, thus making it the major cash earner crop. Various biotic and abiotic stresses affects the crop during its growth stages. Among biotic stresses, weeds are the major one affecting the crop growth and yield. Due to initial slow growth of the clusterbean intense crop-weed competition takes place upto 20-30 DAS and if weeds are not managed properly there will be a severe yield reduction. Under Haryana conditions only manual weeding is recommended which is time consuming and expensive hence there is need to exploit other methods of weed control. Therefore, present study was conducted to study the effect of mechanical methods of weed management on growth, yield and economics of clusterbean. Methods: A field experiment was conducted during kharif season 2018 to study the effect of mechanized weed management practices on growth, yield and economics of clusterbean at Regional Research Station, Bawal (Rewari), CCS Haryana Agricultural University, Hisar. Experiment was performed in randomized block design with ten treatments and three replication. Result: It was found that among various weed management practices, two mechanized weeding with power weeder at 20 DAS and 35 DAS under 60 cm row spacing resulted in significantly higher plant height, leaf area index, dry matter accumulation, seed yield and its attributes in comparison to other treatments and it was statistically at par with mechanized weeding at 20 DAS and 35 DAS with tractor drawn cultivator. The weeding with tractor drawn cultivator was found to be most economical with maximum net returns (Rs. 36076 ha-1) and B:C (2.37) in comparison to other treatments followed by weeding with power weeder that fetched net return of Rs. 35868 ha-1 with B:C of 2.25. Therefore, two times interculture with power weeder or tractor drawn cultivator found beneficial and economical for farmers.

Studies on the Effect of Weed Control Methods and Mulches on Growth and Yield of Late Variety of Chickpea (Cicer arietinum L.)

Background: Chickpea is poor competitor to weeds because of slow growth rate and limited leaf development at early stage of crop growth and establishment especially in autumn season. Weed population and biomass in autumn chickpea are seven and two and half times higher than spring season of chickpea respectively. Mulching has a crucial role in weed suppression and moisture conservation in rain-fed condition where the trial was laid out. Methods: A field experiment was conducted during 2019-20 to study the effect of different weed control methods and mulching on growth and yield of chickpea at Brahmanand Post Graduate College, Rath district Hamirpur Uttar Pradesh. Dry biomass at full growth stage was found maximum (18.14 g plant-1) in combination with alachlor pre-emergence application @1.0 litre ha-1 and saw dust @ 5.0 tonne per hectare. Result: Plant height and tertiary branches were counted maximum with the same method of weed control and mulching. Highest seed (49.32 q ha-1) was also calculated with the application of alachlor weedicide which was found superior over pendimethaline and mechanical weed control. Sawdust mulching application also produced maximum seed yield (48.73 q ha-1) followed by straw and grass mulching.

Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning.

Crop and weed discrimination in natural field environments is still challenging for implementing automatic agricultural practices, such as weed control. Some weed control methods have been proposed. However, these methods are still restricted as they are implemented under controlled conditions. The development of a sound weed control system begins by recognizing the crop and the different weed plants presented in the field. In this work, a classification approach of Zea mays L. (Crop), narrow-leaf weeds (NLW), and broadleaf weeds (BLW) from multi-plant images are presented. Moreover, a large image dataset was generated. Images were captured in natural field conditions, in different locations, and growing stages of the plants. The extraction of regions of interest (ROI) is carried out employing connected component analysis (CCA), whereas the classification of ROIs is based on Convolutional Neural Networks (CNN) and compared with a shallow learning approach. To measure the classification performance of both methods, accuracy, precision, recall, and F1-score metrics were used. The best alternative for the weed classification task at early stages of growth and in natural corn field environments was the CNN-based approach, as indicated by the 97% accuracy value obtained.