Microsoft Technology Licensing, LLC

Debasis Dan

Ranveer Chandra

Swati Sharma

Sara Malvar Maua

Patrick Bernd Buehler

Fnu Aditi

Maria Angels De Luis Blaguer

A deep learning system is used to predict crop characteristics from inputs that include crop variety features, environmental features, and field management features. The deep learning system includes domain-specific modules for each category of features. Some of the domain-specific modules are implemented as convolutional neural networks (CNN) while others are implemented as fully-connected neural networks. Interactions between different domains are captured with cross attention between respective embeddings. Embeddings from the multiple domain-specific modules are concatenated to create a deep neural network (DNN). The prediction generated by the DNN is a characteristic of the crop such as yield, height, or disease resistance. The DNN can be used to select a crop variety for planting in a field. For a crop that is planted, the DNN may be used to select a field management technique.

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Hyderabad Telangana, India

Debasis Dan