Company Filing History:
Years Active: 2021-2024
Title: Innovator Spotlight: Nikisha Shah
Introduction
Nikisha Shah is a prominent inventor based in San Francisco, CA. She has made significant contributions to the field of agricultural technology, particularly through her innovative use of machine learning. With a total of 2 patents, her work focuses on improving agricultural operations and efficiency.
Latest Patents
Nikisha's latest patents involve using machine learning-based seed harvest moisture predictions to enhance computer-assisted agricultural farm operations. These embodiments generate digital plans for agricultural fields by receiving digital inputs such as stress risk data, product maturity data, field location data, planting date data, and harvest date data. The model mathematically correlates these inputs with threshold data associated with stress risk. This process generates stress risk prediction data for various product maturity and field location combinations. The digital plans can adjust product maturity, planting dates, harvest dates, or field location data based on the stress risk prediction data. Ultimately, these digital plans can be transmitted to a field manager's computing device, allowing for the movement of agricultural apparatus in response to the generated plans.
Career Highlights
Nikisha Shah is currently employed at The Climate Corporation, where she continues to develop innovative solutions for the agricultural sector. Her work is instrumental in advancing the use of technology in farming practices, making them more efficient and sustainable.
Collaborations
Some of her notable coworkers include Shilpa Sood and Matthew Sorge, who contribute to the collaborative environment at The Climate Corporation.
Conclusion
Nikisha Shah's contributions to agricultural technology through her innovative patents demonstrate her commitment to improving farming practices. Her work exemplifies the intersection of technology and agriculture, paving the way for more efficient and sustainable farming solutions.