Jointly conducted by UGB and IRD, this research optimizes pest monitoring for rice in Vietnam.
Viet Truong Xuan, researcher at UMMISCO (Université Gaston Berger de Saint-Louis Sénégal).
Thesis defended in 2014 at the doctoral school École doctorale Informatique, télécommunications et électronique de Paris (1992-....).
This research is the result of an international co-supervision between several partner institutions.
Referenced in the ABES/STAR network, this thesis meets the rigorous criteria of French higher education.
The fight against pest insects, particularly brown planthoppers, represents a major challenge for agriculture, especially in regions like the Mekong Delta. This territory, rich in biodiversity, is also the scene of ecological and economic challenges that require special attention. Farmers, faced with pest invasions, need effective tools to anticipate and manage these threats. The research conducted by Viet Truong Xuan proposes an innovative approach by optimizing an environmental monitoring network. By using simulation optimization techniques, this study aims to improve the accuracy of forecasts regarding BPH (Brown Planthopper) invasions, thus enabling decision-makers to act quickly and effectively.
The Mekong Delta, with its vast rice fields, is a fragile ecosystem where brown planthoppers can cause significant yield losses. For example, a recent study showed that these insects can reduce rice production by up to 50% in the most affected areas. This situation underscores the urgency of a rapid and effective response to protect crops. By integrating spatio-temporal analyses and data collected daily, Viet Truong Xuan's research proposes a solution to make this monitoring network more responsive and adapted to field realities.
However, the current monitoring network, while necessary, has notable gaps. It does not take into account recent changes in the ecosystem, such as climate change and seasonal variations, which influence the dynamics of planthopper populations. Moreover, the lack of detailed data on the life cycle of brown planthoppers limits the ability of agricultural managers to respond to emergency situations. By integrating climatic, agronomic, and biological data, the research aims to address these shortcomings and provide more robust decision-support tools.
The implications of this research go beyond the simple academic framework. They directly affect farmers, policymakers, and research actors. By improving pest monitoring, we can not only protect crops but also ensure food security and the sustainability of agricultural systems. The results show that optimizing the network could strengthen pest control strategies, thus offering better protection to farmers. For example, better forecasting of invasions would allow farmers to plan their phytosanitary treatments more effectively, thereby reducing costs and environmental impact.
It is crucial to ask the question: how can policymakers integrate these recommendations into their agricultural policies? The answer lies in close collaboration between researchers, farmers, and local authorities. By establishing suitable monitoring systems and using accurate data, it is possible to transform the way we approach pest control.
This research by Viet Truong Xuan is a step in this direction, but it requires a collective commitment to be fully implemented. Decision-makers must be made aware of the importance of these optimization tools and their potential to improve the resilience of agricultural systems in the face of pest threats. Furthermore, training for farmers on the use of these new technologies and monitoring methods must be established.
Finally, it is essential to consider the regional context. In other West African countries, for example, similar challenges arise with pests such as fall armyworms or locusts. The lessons learned from the experience of the Mekong Delta could thus be applied to other regions, fostering a collaborative and integrated approach to pest control at the regional level. In summary, research on simulation optimization of environmental monitoring networks could play a key role in transforming agriculture in the face of challenges posed by pest insects.
Key Facts
- 3 : The number of restrictions identified in the current monitoring network that limit its effectiveness.
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Sources and Access
Viet Truong Xuan. Optimization by Simulation of an Environmental Surveillance Network : application to the Fight against Rice Pests in the Mekong Delta (Vietnam). Modeling and Simulation. Université Pierre et Marie Curie - Paris VI; Institut Polytechnique (Ho Chi Minh-Ville, Vietnam), 2014. English. ⟨NNT : 2014PA066278⟩. ⟨tel-01337323⟩