Drones for desert locust control in East Africa
The desert locust, Schistocerca gregaria (Forskal), is arguably the most destructive agricultural pest, globally. During 2019 and 2020, the changing weather created conditions that are favoured by the desert locust for rapid reproduction and migration and led to the pest spreading through the Horn of Africa, East Africa, Arabian Peninsula, South West Asia and West Africa. It is estimated that over 25 million people in Ethiopia, Kenya, Somalia, South Sudan, Uganda and Tanzania will face acute food insecurity in 2020 due to the desert locust plague. This initiative tests the use of drones as a new technology to complement traditional desert locust management measures, including the development of Standard Operating Procedures for optimal use of the technology. The project is initially trialled in Kenya with the potential for scaling to other affected African countries.
Enabling data access to support innovation in decision agriculture: soil health, agronomy and fertilizer
Healthy soil is critical to the growth of nutritious food and to farmers’ livelihoods. However, declining soil health is causing low productivity which leads to unstable food security and incomes. National systems can help farmers by sharing data and information on soil health which can then be used to make more informed decisions about agricultural practices, helping farmers produce healthier crops. This project aims to facilitate better data-driven decisions within the investments of Bill & Melinda Gates Foundation (BMGF) Decision Agriculture and the national systems in which the investments operate.
Improving soybean production in Kenya using digital and extension approaches
In Kenya, soybean is a key crop in helping to improve livelihoods and nutrition. However, production only meets 10% of the market needs due to the effects of poor agricultural practices and pests and diseases. To address these issues, this project will provide a frontier system that integrates Earth Observation technology, pest modelling and best-practice approaches in agricultural extension to increase soybean productivity and quality. The project aims to reach 30,000 farmers, of which support will be given particularly to women farmers in helping them to engage with this high-value commodity, access local markets and improve their livelihoods.
Evaluating the mycoherbicide potential of a leaf-spot pathogen against Japanese knotweed
Japanese knotweed is a highly invasive weed that impacts severely on native biodiversity and local infrastructure in its introduced range. Whilst chemicals are currently used to control the weed, this approach is costly and unsustainable. Biological control is an alternative method. The damaging leaf-spot fungus, Mycosphaerella polygoni-cuspidati, which attacks the plant in its native range was found not to be suitable as a classical biocontrol agent. However, the pathogen is considered to hold potential as a mycoherbicide. The aim of this project is to undertake proof-of-concept research into a potential mycoherbicide, in collaboration with the private industry.