Can machine learning predict groundwater levels accurately enough to reduce failed well drilling in drought-affected communities across Ethiopia?

Can traceability and climate risk protection be bundled into a single coffee transaction, improving market access for smallholders while meeting buyer demands?

Can climate insurance payouts be more inclusive and reliable for small-scale fishers, without building new systems?

Can market offtake-linked parametic insurance help smallholder fisherfolk build financial stability and climate resilience?

Can satellite-based mapping and hydrometeorological data identify communities exposed to mining contamination and guide targeted interventions?

Can AI make solar mini grids a more reliable energy source for powering irrigation in Ethiopian farms?

Can a combination of sensors, imagery, and machine learning help locate clandestine graves in Mexico?

Can technology accurately measure the carbon storage impact of regeneration efforts in the Sahel and link to global carbon markets?

Can satellite and ground data provide insights for due diligence requirements in a sustainable cocoa production market?

Can drone-based remote sensing successfully track reforestation programs in Sierra Leone and therefore increase climate investments?

Can geospatial data on climate change scenarios adequately inform community planning on activities that aim to support the local environment?

Can satellite imagery monitor the growth of trees on smallholder farms while a mobile application enables farmers to sell carbon credits on the international market?