J-WAFS
J-WAFS

J-WAFS

Agriculture Algorithms Artificial Intelligence Bacteria Civil and environmental engineering Collaboration computer-vision Data Environment Food Funding Industry J-WAFS machine learning Mechanical engineering MIT Sea Grant School of Engineering Students Supply chains Sustainability Undergraduate Undergraduate Research Opportunities Program (UROP) Water

Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.

Agriculture Artificial Intelligence Bioengineering and biotechnology Biological engineering Biology Carbon dioxide chemistry Climate change Collaboration Food Funding Genetic engineering Grants Greenhouse gases J-WAFS machine learning Plants Research School of Engineering School of Science Synthetic biology Water Whitehead Institute

Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.

Agriculture Artificial Intelligence Carbon dioxide Civil and environmental engineering Climate Climate change Computer science and technology Faculty Food J-WAFS Lincoln Laboratory machine learning Plants Profile Research Satellites School of Engineering sensors Water

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.