Beisha /bˈe͡ɪsa/
Nacidos del
Hongo

Beisha is a system for predicting and searching for wild mushrooms in the Sierra Norte of Oaxaca. It uses satellite data (GPM, MODISLST, SENTINEL) and a probabilistic method to help local communities plan and optimize their collection routes.

Under development

Summary

Beisha: A Predictive System for Wild Mushroom Foraging in Oaxaca

This project introduces a predictive system for wild mushroom foraging in the Sierra Norte of Oaxaca, utilizing a probabilistic model. By processing data on temperature, humidity, NDVI, and precipitation from satellites like GPM, MODIS, and Sentinel, it calculates the probability of mushroom proliferation in specific locations on a weekly basis. This tool is designed to help indigenous communities plan and optimize their harvesting routes, ensuring more efficient and fruitful foraging.

NASA's Perseverance Mars rover alongside the rock nicknamed Cheyava Falls

Smalltown

Cuajimoloyas, a small town near the sky

A town in Oaxaca that stands out for its majestic and unusual scenery. Come and discover the variety of edible, toxic, and medicinal mushrooms; learn about their cultivation and growth, and purchase handicrafts, preserves, and products made from medicinal plants, among other things.

Youtube Video

Yema de Huevo (Amanita caesarea)

It is a basidiomycete fungus of the Agaricales order, which mainly appears between summer and fall, when there is sufficient moisture in the soil. Its flavor is somewhat reminiscent of nuts, and it is recommended to cut off the volva, as it can make the dish slightly bitter. It is advisable to return the volva to the soil, as it contains a large number of spores that ensure that mushrooms of the same species continue to grow. It should not be confused with the “false oronja” or Amanita muscar, another oronja with more reddish tones and white spots, but which is toxic.

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Predicting the emergence of mushrooms in a region to streamline the work of mushroom gatherers in the community of Cuajimoloyas, Oaxaca, Mexico.

Combination of two prediction models, using precipitation, humidity, temperature, and NDVI data.

“Primary productivity and climate control mushroom yields in Mediterranean pine forests.” https://www.sciencedirect.com/science/article/abs/pii/S0168192320301179 NASA resources https://www.spaceappschallenge.org/2025/challenges/bloomwatch-an-earth-observation-application-for-global-flowering-phenology/?tab=resources1

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