Pest control for optimum yields
The "Seed Dressing with Fungicide and Insecticide" technology consist to the application of chemical control agents to common bean seeds to combat fungal diseases like anthracnose and pests such as stem maggots that cause significant yield losses in Africa. It offers various seed dressing products, such as Syngenta’s APRON STAR®, which combines fungicides and insecticides to effectively control diseases and pests, leading to robust root development, uniform growth, and higher yields, especially in tropical regions with favorable conditions for fungal pathogens. This method utilizes a cost-effective and environmentally friendly approach, offering enhanced protection and increased productivity for common bean crops. This adaptable and accessible technique doesn’t require specialized equipment and is easily implementable at both farms and factories, offering a widely adoptable solution to protect common bean crops against prevalent diseases and pests in various agricultural regions.
This technology is TAAT1 validated.
The technology has been integrated in the ENSURE project: in 7 regions of the East African Community
Goal: 3,000,000 farmers (50% women)
149,940 lead farmers and promoters trained
Budget: USD 13.14 million
Implementation period: 2024–2027
Adults 18 and over: Positive high
The poor: Positive medium
Under 18: Positive medium
Women: Positive high
Climate adaptability: Moderately adaptable
Farmer climate change readiness: Significant improvement
Biodiversity: No impact on biodiversity
Carbon footprint: Same amount of carbon released
Environmental health: Does not improve environmental health
Soil quality: Does not affect soil health and fertility
Water use: Same amount of water used
Endangering Planting Material: Diseases and pests harbored by seeds endanger the integrity of planting material stocks, threatening the viability of future crops and risking widespread agricultural setbacks.
Threat of Crop Failure: Soil-borne diseases and insect pests pose a severe risk to common bean crops, leading to sparse plant density and even complete crop failure, exacerbating food insecurity and economic instability.
In the near future, this section will provide an overview of this technology's success in various contexts, details on partners offering technical support, training, and implementation monitoring, along with other valuable insights for your projects and programs. These details will be added progressively.
In the meantime, use the 'Request information' button if you need to contact us.
Equipment for manual application
Equipment for mechanized application for a small unit
Equipment for mechanized application for a large unit
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 ›
Semi-controlled environment: prototype
Used by some intended users, in the real world
| Maturity of the idea | Level of use | |||||||||
| 9 | ||||||||||
| 8 | ||||||||||
| 7 | ||||||||||
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
Enabling Environments for Sustainable Regional Agriculture Extension (ENSURE)
Project funder: African Development Bank & East Africa Community
Planned Budget: USD 13.14 million
Location: East African Community (Burundi, DRC, Kenya, Rwanda, South Sudan, Tanzania, Uganda)
Planned duration: 2024–2027
Deployment means: On-farm demonstrations, training, digital tools (SMS, IVR, video, radio, pictorial guides), bundled inputs + advisory services, Training of Trainers (ToT)
Project main implementer: East African Community (EAC)
Project Description: Strengthen agricultural extension systems using digital tools, private-sector approaches, regional coordination, and multi-commodity focus (maize, cassava, rice, drought-resilient crops).
Objective: Promote regional extension, enhance advisory services, scale climate-smart technologies, build sustainable private sector–led extension systems, strengthen policy and regulatory frameworks.
Expected outcome: Increased adoption of improved technologies, improved farmer productivity and profitability, enhanced access to quality inputs and pest management solutions, strengthened resilience to climate and pest risks, regional market integration, job creation for youth and agripreneurs.
Figures of adoption: Target 3 million farmers reached over 4 years, digital extension pilots in 7 EAC states, training of extension agents, lead farmers, cooperatives, and youth agripreneurs, rollout of Pest Information Management Systems (PIMS).
Profiles of adopters: Smallholder farmers, women, youth agripreneurs, cooperatives and producer organizations, public and private extension agents, National Plant Protection Officers (NPPOs).
Lessons learnt: System-level approaches needed beyond technology delivery, digital tools most effective with in-person facilitation, supportive policy/regulatory environment critical, regional harmonization boosts scalability and cross-border diffusion of technologies.
| Country | Testing ongoing | Tested | Adopted |
|---|---|---|---|
| Burundi | –No ongoing testing | Tested | Adopted |
| Cameroon | –No ongoing testing | Tested | Adopted |
| Democratic Republic of the Congo | –No ongoing testing | Tested | Adopted |
| Ethiopia | –No ongoing testing | Tested | Adopted |
| Kenya | –No ongoing testing | Tested | Adopted |
| Malawi | –No ongoing testing | Tested | Adopted |
| Mozambique | –No ongoing testing | Tested | Adopted |
| Nigeria | –No ongoing testing | Tested | Adopted |
| Rwanda | –No ongoing testing | Tested | Adopted |
| South Sudan | –No ongoing testing | Tested | Adopted |
| Tanzania | –No ongoing testing | Tested | Adopted |
| Uganda | –No ongoing testing | Tested | Adopted |
| Zambia | –No ongoing testing | Tested | Adopted |
| Zimbabwe | –No ongoing testing | Tested | Adopted |
This technology can be used in the colored agro-ecological zones. Any zones shown in white are not suitable for this technology.
| 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.
Last updated on 9 April 2026