Globally, plants are reaping the benefits of elevated CO2 levels in the atmosphere by increasing photosynthesis rates, a phenomenon known as the CO2 fertilization effect. However, those benefits might be offset by drier and warmer climates caused by global warming and extreme climate events. Using data collected from urban environments, researchers at Illinois have been able to study dueling effects of climate change factors on vegetation response to drought.

According to new research from the University of Illinois, crops that experience drought conditions or extreme temperatures during their early stages of growth and survive are better able to deal with those same conditions later in their growth cycle. This ‘memory,’ or adaptation by the plant, could help reduce yield loss that year and help researchers prevent future yield loss.

An international effort called Realizing Increased Photosynthetic Efficiency (RIPE) aims to transform crops' ability to turn sunlight and carbon dioxide into higher yields. To achieve this, scientists are analyzing thousands of plants to find out what tweaks to the plant's structure or its cellular machinery could increase production.

Like many industries, big data is driving innovations in agriculture. Scientists seek to analyze thousands of plants to pinpoint genetic tweaks that can boost crop production—historically, a Herculean task. To drive progress toward higher-yielding crops, a team from the University of Illinois is revolutionizing the ability to screen plants for key traits across an entire field.

Hyperspectral data comprises the full light spectrum; this dataset of continuous spectral information has many applications from understanding the health of the Great Barrier Reef to picking out more productive crop cultivars.