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https://e-catalogs.taat-africa.org/gov/technologies/physical-and-visual-diagnosis-identification-of-fall-armyworm
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Physical and visual diagnosis: Identification of Fall Armyworm

Spot the Pest, Stop the Damage

This technology is a standardized field-recognition guide whose goal is to avoid confusion with look-alike pests by using clear visual markers (the inverted “Y” on the head, sawdust-like frass deep in the whorl) and simple verification steps; a grassroots early-warning workflow that lets extension agents confirm new Fall armyworm sightings quickly; and a misdiagnosis-prevention measure that requires side-by-side checks with maize stem borers, cutworms, and other armyworms before any advice or spraying, thereby reducing unnecessary pesticide use.

This technology is pre-validated.

9•9

Scaling readiness: idea maturity 9/9; level of use 9/9

Positive impacts: 12

Gender Groups Positive Impact
Women Smallholder Farmers
  • Transcend Literacy Barriers: Identification knowledge is accessible via pictorial guides and local language adaptations, allowing women with limited formal education to master complex agronomic information. 
  • Enhanced Decision-Making: Gaining skills in standardized scouting and confirming pest identity enhances women's expertise and confidence, increasing their voice in household and community management decisions. 
  • Prevents Waste: Accurate diagnosis stops the misuse of scarce household time and funds on inappropriate remedies intended for look-alike pests.
Rural Youth & Young Agripreneurs
  • Digital Empowerment: Provides youth with technical roles using digital tools, such as the FAMEWS mobile app (for image recognition and data recording), leveraging their tech-savviness. 
  • Skills and Status: Acquisition of valuable agronomic and organizational skills (scouting protocols, systematic data collection) that can lead to roles as paid pest scouts or extension auxiliaries. 
  • Community Contribution: Enhanced social status by being recognized as valuable, technologically skilled contributors to community resilience and early warning efforts.
Low-Income Rural Households (Intersects with women/men/youth in poverty)
  • Cost-Effective Defense: As a low-cost, knowledge-based intervention, identification and scouting provide resource-poor farmers a viable first line of defense that does not require cash outlay. 
  • Mitigates Crisis: Early detection via scouting (looking for eggs/frass) enables timely, low-cost mechanical control (handpicking) that prevents infestations from escalating into severe, expensive losses. 
  • Reduces Exposure to Risk: By confirming the pest's presence and stage, farmers can avoid panic, reducing the likelihood of resorting to the over-application or misuse of hazardous and costly chemical controls.
Women-Led Cooperatives and Associations
  • Collective Learning Platform: Provides a strong platform for collective learning and sharing of standardized identification and scouting knowledge (from the open-access Handbook) among all members. 
  • Efficiency through Labor Sharing: Allows the cooperative to organize the pooling of labor for systematic field scouting, ensuring all member fields are monitored for early FAW presence. 
  • Strengthens Legitimacy: Establishing and documenting pest identification expertise strengthens the group’s credibility when engaging with government extension services or accessing support resources.
More...

Climate adaptability: Highly adaptable

Accurate, early identification ensures farmers can detect pest surges in real time. This provides the agility needed to cope with climate-driven pest spread (as warmer temperatures influence FAW life cycles). An informed community can rapidly respond and adjust management timing based on observed pest pressure.

Farmer climate change readiness: Significant improvement

By protecting crops from damage via early detection and action, the technology provides a crucial buffer that stabilizes production. This helps ensure farmers harvest something even during climate-stressed seasons (e.g., drought or floods), which otherwise would compound yield losses. The knowledge provides the adaptive trait necessary to manage pests whose patterns are becoming less predictable due to climate change.

Biodiversity: Positive impact on biodiversity

Accurate ID minimizes the use of broad-spectrum insecticides, which otherwise kill non-target organisms like pollinators and natural enemies (e.g., parasitoid wasps, predator ants). This judicious action protects the functional biodiversity of the field, fostering a more balanced agro-ecosystem where natural checks on FAW can thrive. Scouting also teaches farmers to conserve natural enemies by recognizing signs of parasitism or disease.

Carbon footprint: A bit less carbon released

By preventing panic spraying and ensuring timely, targeted interventions, identification reduces unnecessary pesticide applications. Fewer redundant pesticide applications lead to a lower carbon footprint associated with agrochemical manufacturing, transport, and application.

Environmental health: Greatly improves environmental health

Correct diagnosis prevents the misuse or overuse of hazardous chemicals. This reduces the overall chemical load in the environment, mitigating risks of pesticide poisoning incidents and contamination of air and soil. The emphasis on biological and cultural controls (which ID enables) aligns with sustainable intensification.

Soil quality: Does not affect soil health and fertility

Identification enables the prioritization of IPM practices that are beneficial to soil health. By reducing chemical use, the technology protects the soil microbiome. Furthermore, ID enables cultural controls (like intercropping, conservation agriculture, and proper residue management) that improve soil structure, nutrient cycling, and water retention—key factors for healthy soils.

Water use: A bit less water used

Reduced chemical runoff into water bodies occurs when accurate identification guides farmers away from widespread, indiscriminate spraying. This protects aquatic biodiversity and reduces contamination of ground and surface water. Scouting (ID) is often coupled with good agronomic practices that encourage water use efficiency (e.g., timely planting to avoid drought periods or mulching).

Problem

  • Pest surveillance is inaccurate and inconsistent: Extension agents and farmers lack standardized knowledge to recognize FAW's specific traits (like the inverted "Y" mark), resulting in unreliable data flowing to national monitoring centers.
  • Reports are delayed, crippling rapid response: Without widespread identification capacity at the village level, infestations are reported only after severe damage, meaning authorities cannot pinpoint early outbreaks or coordinate timely interventions.
  • Chemical misuse is prevalent due to misdiagnosis: The lack of proper identification leads farmers to apply unnecessary pesticides on harmless or non-target insects, escalating production costs and increasing environmental and health risks.

Solution

  • Deploying standardized identification materials (like the FAO/CABI Field Handbook) to ensure all extension workers and farmers across the country work with the same, consistent information.
  • Enabling rapid confirmation of new sightings by trained local officers, ensuring that pest reports flowing up to the ministry are accurate and timely, thus strengthening the national pest surveillance system.
  • Preventing unnecessary pesticide use by teaching users how to accurately distinguish FAW from harmless insects or look-alike pests (such as African armyworm or stem borers), aligning with policy goals for responsible chemical use.

Key points to design your project

The integration of Fall Armyworm (FAW) identification technology into a government project or program is primarily a knowledge-transfer strategy, grounded in standardized training and public awareness. Since the core resource is the Fall Armyworm Field Handbook: Identification and Management (FAO/CABI, 2019), a critical resource that is open access and widely disseminated, government action should focus on leveraging this foundational document for nationwide capacity building.

The following are the Key Points to Design Your Program for a government integrating only FAW identification capacity:

1. Mandate Policy Endorsement and Standardization

The government must formally anchor the identification protocol within the national agricultural structure to ensure consistency across all extension and field operations.

  • Formal Policy Endorsement: Issue a ministry directive formally endorsing the FAW Field Handbook and its recommendations as the national standard for FAW identification. This ensures every stakeholder works from the same playbook.
  • Uniform ID Protocol: Ensure all training materials, posters, and field advice utilize the standardized identification cues detailed in the Handbook, such as the pale, upside-down Y-shaped marking on the caterpillar's head and the four raised spots forming a square on the second-to-last body segment.
  • Misdiagnosis Prevention: Implement training that specifically addresses how to distinguish FAW from common look-alike pests (e.g., African armyworm, cotton bollworm) to prevent misuse of control measures and wasted resources.

2. Launch a National Capacity Building Cascade

Capacity building requires mass training and ensuring the right tools are available to the right personnel at the local level.

  • Mass Training of Extension Officers: Allocate budget and resources to train all frontline extension agents on FAW identification, field scouting procedures, and data recording. This training should be practical and hands-on, using the step-by-step guidance provided in the handbook.
  • Localized Materials Dissemination: Allocate funds for the mass production and distribution of FAW ID posters and leaflets derived from the open-access Handbook content. These materials must be translated into local languages and utilize pictorial aids to ensure accessibility for farmers with limited literacy.
  • Technology Integration: Train extension agents and lead farmers on using complementary digital tools, such as the free FAMEWS mobile application, which includes an image recognition feature to help users confirm FAW identification from a photograph.

3. Institutionalize Early Warning and Reporting

Identification is the core input for a functional early warning system; the government must create robust pathways for reporting and verification.

  • Establish a Reporting Channel: Set up an easily accessible channel—such as a toll-free number, dedicated extension desk, or SMS system—where farmers can report suspected FAW sightings and receive quick, professional verification.
  • Link ID to Surveillance: Ensure the data collected from local identification (scouting reports) is compiled centrally and functions as an early warning system to pinpoint hotspots. This enables agricultural authorities to coordinate rapid responses and efficiently allocate resources.
  • Integrate into Routine Workflow: Mandate that all extension workers incorporate routine FAW monitoring and identification into their regular field visits and farmer group meetings, institutionalizing the capacity rather than treating it as an ad-hoc emergency effort.

4. Ensure Program Sustainability and Trust

To achieve long-term impact, the government must sustain the knowledge system and build public trust in the information provided.

  • Public Awareness Campaign: Run a nationwide mass communication campaign (via radio, television, and social media) to disseminate key FAW ID messages drawn from the Handbook, ensuring general vigilance and consistent understanding across the country.
  • Curriculum Integration: Incorporate FAW identification into existing educational systems, such as school agriculture curricula and farmer field school modules, to ensure the next generation of farmers and extension staff is prepared.
  • Reduce Misinformation and Misuse: Leverage the official identification training to proactively combat panic and misinformation, thereby promoting a responsible pest control culture and aligning with government goals to reduce unnecessary pesticide use that often results from misdiagnosis.
  • Plan for Refreshers: Budget for and execute regular refresher trainings and materials updates, acknowledging that pest patterns can evolve and communities require re-sensitization each season before peak FAW periods.

IP

Open source / open access

Scaling Readiness describes how complete a technology’s development is and its ability to be scaled. It produces a score that measures a technology’s readiness along two axes: the level of maturity of the idea itself, and the level to which the technology has been used so far.

Each axis goes from 0 to 9 where 9 is the “ready-to-scale” status. For each technology profile in the e-catalogs we have documented the scaling readiness status from evidence given by the technology providers. The e-catalogs only showcase technologies for which the scaling readiness score is at least 8 for maturity of the idea and 7 for the level of use.

The graph below represents visually the scaling readiness status for this technology, you can see the label of each level by hovering your mouse cursor on the number.

Read more about scaling readiness ›

Scaling readiness score of this technology

Maturity of the idea 9 out of 9

Uncontrolled environment: validated

Level of use 9 out of 9

Common use by intended users, in the real world

Maturity of the idea Level of use
9
8
7
6
5
4
3
2
1
1 2 3 4 5 6 7 8 9

Positive impact 12

Gender Groups Positive Impact
Women Smallholder Farmers
  • Transcend Literacy Barriers: Identification knowledge is accessible via pictorial guides and local language adaptations, allowing women with limited formal education to master complex agronomic information. 
  • Enhanced Decision-Making: Gaining skills in standardized scouting and confirming pest identity enhances women's expertise and confidence, increasing their voice in household and community management decisions. 
  • Prevents Waste: Accurate diagnosis stops the misuse of scarce household time and funds on inappropriate remedies intended for look-alike pests.
Rural Youth & Young Agripreneurs
  • Digital Empowerment: Provides youth with technical roles using digital tools, such as the FAMEWS mobile app (for image recognition and data recording), leveraging their tech-savviness. 
  • Skills and Status: Acquisition of valuable agronomic and organizational skills (scouting protocols, systematic data collection) that can lead to roles as paid pest scouts or extension auxiliaries. 
  • Community Contribution: Enhanced social status by being recognized as valuable, technologically skilled contributors to community resilience and early warning efforts.
Low-Income Rural Households (Intersects with women/men/youth in poverty)
  • Cost-Effective Defense: As a low-cost, knowledge-based intervention, identification and scouting provide resource-poor farmers a viable first line of defense that does not require cash outlay. 
  • Mitigates Crisis: Early detection via scouting (looking for eggs/frass) enables timely, low-cost mechanical control (handpicking) that prevents infestations from escalating into severe, expensive losses. 
  • Reduces Exposure to Risk: By confirming the pest's presence and stage, farmers can avoid panic, reducing the likelihood of resorting to the over-application or misuse of hazardous and costly chemical controls.
Women-Led Cooperatives and Associations
  • Collective Learning Platform: Provides a strong platform for collective learning and sharing of standardized identification and scouting knowledge (from the open-access Handbook) among all members. 
  • Efficiency through Labor Sharing: Allows the cooperative to organize the pooling of labor for systematic field scouting, ensuring all member fields are monitored for early FAW presence. 
  • Strengthens Legitimacy: Establishing and documenting pest identification expertise strengthens the group’s credibility when engaging with government extension services or accessing support resources.

Unintended impact 10

Target groups Unintended Impact Mitigation Action
Women Smallholder Farmers
  • Exclusion from Information: If ID training (based on the FAW Handbook) targets male "household heads," women may be bypassed, reducing their awareness of crucial ID cues.
  • Increased Labor Burden: Successful early identification of eggs/larvae often triggers manual controls (hand-picking/crushing), which can disproportionately fall on women.
  • Appropriation of Status: Men may assert control over the valued role of trained "pest scout" or expert identifier, reducing women’s autonomy over pest management decisions.
  • Gender-Sensitive Extension: Explicitly include women in FAW outreach, using women farmer groups, and employing women extension agents. 
  •  Promote Labor Sharing: Encourage community labor sharing, hiring youth scouts, or using couples' training to ensure men support women's adoption of labor-intensive early actions. 
  • Joint Training: Use couples’ trainings or community drama/videos to ensure men understand and support women’s role in IPM adoption. 
Rural Youth & Young Agripreneurs
  • Intergenerational Tensions: Youth-led monitoring and identification (especially using digital tools like FAMEWS) may be viewed with skepticism by older farmers, limiting the effectiveness of youth-led advice.
  • Failure Risk: Youth enterprises centered on advisory or scouting services might fail due to limited capital or poor rural infrastructure, leading to disillusionment.
  • Facilitate Dialogue: Organize community dialogues where youth and elders agree on specific monitoring and reporting roles, facilitating cooperation
  • Demonstrate Competence: Use demonstration plots and testimonials from satisfied farmers (mentored by youth) to build trust and prove the accuracy of identification provided by trained youth.
  • Provide Mentorship & Capital: Offer mentorship and business development support, linking youth agripreneurs to microfinance institutions for start-up capital.
Low-Income Rural Households
  • Technology Divide: The need for high-quality printed guides, digital apps (FAMEWS), or purchasing monitoring equipment can widen the gap between wealthy and poor farmers.
  • Dependency on External Experts: If identification knowledge relies only on external trainers, the community lacks the capacity for knowledge refreshers, leaving them vulnerable when project funding ends.
  • Pro-Poor Targeting: Prioritize the dissemination of simple, low-cost ID methods and materials (simplified pictorial guides, local remedies) that rely on observation and easily available inputs.
  • Institutionalize Knowledge: Embed the training and knowledge (from the Handbook) through Farmer Field Schools and village farmer trainers (ToT model), ensuring the capacity is sustained locally.
Women-Led Cooperatives and Associations
  • Internal Disparity: Limited training resources or scouting tools provided by a project may cause elite capture or conflict over who benefits within the cooperative.
  • Increased Workload on Leaders: Coordinating the cooperative's identification and reporting efforts (training members, logging data) adds to the workload of women leaders, potentially causing burnout.
  • External Obstruction: Women's groups attempting to enforce area-wide standardized scouting or synchronized early action may face pushback from non-member male farmers.
  • Transparent Governance: Implement transparent, group-based benefit-sharing mechanisms, ensuring multiple members are trained to prevent over-reliance on a single leader.
  • Shared Workload: Integrate FAW duties into the regular cooperative labor calendar and support leaders to train others, lightening the coordination load.
  • Community Engagement: Invite male farmers and traditional leaders to field days demonstrating the success of the women's group's accurate scouting, turning skepticism into support, and facilitating dialogue for synchronized community action.

Barriers 12

Target Groups

Barriers to Adoption 

Mitigation Measures

Women Smallholder Farmers

  • Knowledge/Training Gaps: Limited access to extension services means women miss out on standardized ID cues and scouting protocols. 
  • Literacy Barriers: Reliance on text-heavy manuals can exclude women with limited formal education from mastering the identification techniques. 
  • Time Constraints: Extensive household duties limit the time available for frequent field scouting and community monitoring (core ID practices).
  • Gender-Sensitive Extension: Explicitly include women in FAW outreach, using women farmer groups and scheduling training at convenient times.
  • Simplified/Visual Learning: Utilize pictorial guides (like the FAW Handbook) and participatory videos to build confidence and transcend literacy barriers. 
  • Promote Labor Sharing: Encourage community labor pooling or group scouting efforts to reduce the individual time burden required for monitoring.

Rural Youth & Young Agripreneurs

  • Social Bias: ID advice or monitoring data (especially when using digital tools like the FAMEWS app) provided by young scouts is often met with skepticism and lack of trust from older farmers.
  • Lack of Credibility/Networks: Youth often lack the formal agronomic certification or established community networks needed to be taken seriously as pest advisors. 
  • Failure Risk in Digital Ventures: Scouting/advisory services built around ID apps may fail without sustained business development support, leading to youth disillusionment.
  • Facilitate Dialogue: Organize community dialogues to help youth and elders agree on monitoring and reporting roles, building intergenerational trust.
  • Training and Certification: Provide formal training and certification to enhance youth skills and credibility as scouts or service providers. 
  • Linkages: Connect trained youth to formal extension systems and research institutes (for network building and quality assurance).

Low-Income Rural Households

  • Access Barriers: Cost of printing high-quality ID posters/guides or requiring a basic smartphone for digital diagnostic tools (like FAMEWS image recognition) may exclude the poorest farmers. 
  • Knowledge Overload: Poor extension coverage and lack of education mean farmers may struggle with complex ID criteria, leading to inaction or misdiagnosis. 
  • Mistrust in New Methods: Doubting the efficacy or credibility of simple identification protocols or new tools like pheromone traps (used for monitoring but tied to ID warnings).
  • Pro-Poor Targeting: Disseminate advice through low-cost, trusted channels (radio programs in local languages, local leaders, farmer-to-farmer outreach).
  • Simplified Tools: Prioritize sharing free, pictorial field handbooks. 
  • Institutionalize Knowledge: Use Farmer Field Schools (FFS) and village farmer trainers (ToT) to embed ID knowledge locally, making it a reliable, free resource accessible to all.

Women-Led Cooperatives/Associations

  • Organizational Exclusion: Women's groups often lack formal registration or networks, causing them to be bypassed by official extension programs for ID training and materials.
  • Technical Confidence: Lower collective technical education levels can make detailed scientific identification content (like morphological keys) daunting for members.
  • External Obstruction: Efforts to enforce area-wide standardized scouting may face pushback and skepticism from non-member male farmers, limiting the group's ID effort impact.
  • Channel Support: Governments and NGOs should deliberately channel FAW ID training and materials through women’s groups. 
  • Organizational Capacity: Train group leaders and members in organizational management to enhance legitimacy and ability to engage partners. 
  • Community Engagement: Invite male farmers and traditional leaders to demonstrations of the women's successful scouting efforts to build broad community support and reduce external pushback.

Countries with a green colour
Tested & adopted
Countries with a bright green colour
Adopted
Countries with a yellow colour
Tested
Countries with a blue colour
Testing ongoing
Egypt Equatorial Guinea Ethiopia Algeria Angola Benin Botswana Burundi Burkina Faso Democratic Republic of the Congo Djibouti Côte d’Ivoire Eritrea Gabon Gambia Ghana Guinea Guinea-Bissau Cameroon Kenya Libya Liberia Madagascar Mali Malawi Morocco Mauritania Mozambique Namibia Niger Nigeria Republic of the Congo Rwanda Zambia Senegal Sierra Leone Zimbabwe Somalia South Sudan Sudan South Africa Eswatini Tanzania Togo Tunisia Chad Uganda Western Sahara Central African Republic Lesotho
Countries where the technology is being tested or has been tested and adopted
Country Testing ongoing Tested Adopted
This technology has not been tested or adopted in any country.

This technology can be used in the colored agro-ecological zones. Any zones shown in white are not suitable for this technology.

Agro-ecological zones where this technology can be used
AEZ Subtropic - warm Subtropic - cool Tropic - warm Tropic - cool
Arid
Semiarid
Subhumid
Humid

Source: HarvestChoice/IFPRI 2009

The United Nations Sustainable Development Goals that are applicable to this technology.

Sustainable Development Goal 2: zero hunger
Goal 2: zero hunger

Accurate and early identification of FAW helps protect maize and other staple crops from severe losses. Timely detection ensures that farmers can initiate control measures (either mechanical, botanical, or chemical) before damage escalates, which translates directly into more stable yields and improved food security for households.

Sustainable Development Goal 3: good health and well-being
Goal 3: good health and well-being

Accurate pest diagnosis promotes safer pest management practices. When farmers confidently identify FAW, they are less likely to misuse or overuse hazardous pesticides out of panic or confusion with other pests. This directly reduces human exposure to toxic chemicals (lowering poisoning incidents) and contributes to overall health outcomes in rural farming communities.

Sustainable Development Goal 12: responsible production and consumption
Goal 12: responsible production and consumption

Empowering farmers with correct pest identification (e.g., distinguishing FAW by its inverted "Y" mark) is the essential first step toward judicious use of agricultural inputs. Farmers apply control measures more responsibly, typically only spraying when thresholds are met and when it is confirmed to be FAW, avoiding wasteful consumption of pesticides and fostering sustainable crop production.

Sustainable Development Goal 13: climate action
Goal 13: climate action

The knowledge-based identification system strengthens climate adaptability. As climate change alters pest patterns, an informed farming community using standardized ID tools can detect these shifts in real time and quickly adapt management strategies. By enabling low-impact controls, it also lowers the carbon footprint associated with agrochemical manufacturing and transport.

Sustainable Development Goal 15: life on land
Goal 15: life on land

Early and accurate identification is crucial for environmental stewardship. By preventing unnecessary or widespread use of broad-spectrum insecticides, the technology spares beneficial insects (such as parasitoid wasps and pollinators) and soil fauna from collateral damage. This preservation of functional biodiversity helps maintain a balanced agro-ecosystem that naturally keeps FAW and other pests in check.

The procedure for Fall Armyworm (FAW) identification focuses on examining the pest's physical markers, life stages, and feeding evidence to accurately distinguish it from other caterpillars found on maize. This knowledge is crucial for triggering timely and correct control actions.

The steps to identify FAW are as follows:

Step 1: Learn the Key Physical Markers (The "Wanted Poster" of the Larva)

Begin by closely examining the caterpillar itself, using visual guides or hand lenses if available, focusing on these unique morphological traits:

  • Head Marking: Look for a dark head with a pale, upside-down Y-shaped marking on the forehead.
  • Body Spots: Observe the body segments. There are four raised spots shaped like a trapezium on each body segment when viewed from above.
  • Rear Square: On the second-to-last body segment, look for four spots forming a distinctive square.
  • Skin Texture: FAW skin appears smooth to the touch. This helps distinguish it from the Cotton bollworm, which feels rough due to tiny spines.
  • Coloration: While small caterpillars may appear greenish, bigger caterpillars vary in color, ranging from orange to green, black, or brown.

Step 2: Look for Characteristic Damage and Frass

Examine the plant, especially the newest leaves and the whorl (funnel), for unique feeding signs left by the caterpillars:

  • Frass (Droppings): Look for sawdust-like material called "frass" accumulating in the maize whorl or on the leaves, tassels, and cobs. Fresh feeding produces large clumps of frass.
  • Early Damage: On young plants, small caterpillars create distinctive, clear or "window pane" damage on the leaves before moving into the whorl.
  • Late Damage: Bigger caterpillars cause large irregular and elongated holes on the leaves and ragged whorl leaves.
  • Hiding Spot: Note that caterpillars typically hide deep in the whorls (funnels) during the day.

Step 3: Check Other Life Stages

Confirmation can often be made by identifying other stages of the FAW life cycle:

  • Eggs: Eggs are generally laid on the underside of the leaves in a mass that is cream, grey, or whitish in color and covered with a hairy covering. A single mass often contains 100–200 spherical eggs.
  • Pupae: The pupa stage is reddish-brown and is usually difficult to observe, as it occurs in the soil, 2–8 cm deep. If the soil is too hard, the caterpillar may form a cocoon from leaf debris on the surface.
  • Adults (Moths): Moths are dark grey and active at night. The male forewing has a conspicuous white spot.

Step 4: Rule Out Look-Alikes

It is vital to confirm that the insect is indeed FAW and not another pest, as misdiagnosis can lead to applying the wrong control method.

  • Cotton Bollworm: This pest, often confused with FAW, may have a similar dot pattern, but its upside-down Y-mark is usually the same color as the rest of the head, and its skin feels rough to the touch due to tiny spines (unlike the smooth skin of the FAW).
  • Other Pests: Be aware of other species like the African armyworm or various stem borers that can also be found on maize.

Step 5: Utilize Tools for Confirmation

If uncertainty remains, technology and simple tools can assist in final confirmation:

  • Digital Diagnosis: If a smartphone is available, use the FAMEWS mobile app’s image recognition feature to help confirm FAW identification from a photograph of the suspected caterpillar.
  • Expert Review: Contact a local extension officer or a trained community "pest scout" for verification, describing the pest or showing them a sample.

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Last updated on 14 November 2025