International Business Machines Corporation

Lianna C Samuel

Young-Hye Na

Geraud J Dubois

Ran Wang

Komminist S Weldemariam

Robert David Allen

Joseph Sly

Kala Fleming

Elizabeth Ondula

The disclosure provides systems and methods for monitoring and managing crops. Crop selection, planting, growth, and harvest are monitored based on sensor input as well as contextual information, allowing automated decisions and actions that increase efficiency at every stage of the farming process. Contextual information includes historical crop information and other statistics pertaining to a specific location under cultivation. Improved farm output and efficient use of resources are key results using the systems and methods.

Predicting crop productivity via intervention planning on small-scale farms

A method includes removing glyphosate from a solution by contacting the solution with a mesoporous inorganic particle having an average pore size of greater than zero and less than about 50 nm, wherein the mesoporous inorganic particle is functionalized with a positively charged moiety selected from ammonium, amine and combinations thereof.

Method for removing glyphosate from a solution

A method for removing glyphosate from a solution by contacting the solution with a polymeric particle including a moiety selected from the group consisting of ammonium, amine and combinations thereof, wherein the moiety is positively charged in the solution.

Method for removing glyphosate from a solution using functionalized polymeric nanoparticles

Growing community of inventors

Santa Clara, CA, United States of America

Lianna C Samuel