Mahesh Somarowthu

Tenali, India

Mahesh Somarowthu

This inventor holds 22 USPTO granted patents and 18 published patent applications, primarily in Agricultural Technology. Top assignee: Deere & Company. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mahesh Somarowthu. Retrieved from https://idiyas.com/inventor/mahesh-somarowthu

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 22 

% Patents Active = 100.0

Average Co-Inventor Count = 2.6

ph-index = 1


Location History:

  • Tenali, IN (2023)
  • Pune, IN (2024)

Company Filing History:


Years Active: 2023-2026

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Areas of Expertise:
Crop Contamination Detection
Windrow Management
Soil Compaction Control
Agricultural Residue Distribution
Kernel Processor Adjustment
Baler Implement Control
Terahertz Frequency Systems
Work Vehicle Navigation
Leaf-to-Stem Ratio Measurement
Fuel Efficiency Improvement
Real-Time Adjustment
Crop Loss Control
22 patents (USPTO):Explore Patents

Mahesh Somarowthu: Innovating Data Recording and Sampling for Agricultural Machines

In agricultural machinery, innovation is key to advancing efficiency and productivity. Mahesh Somarowthu, a brilliant inventor from Pune, India, has significantly contributed to the industry through his patent entitled "Arrangement for data recording and sampling for an agricultural machine." Working with Deere & Company, a renowned global enterprise specializing in agricultural equipment, Somarowthu's invention revolutionized how data is recorded and sampled on farm machines. Let's delve deeper into his inventive contribution and explore its impact on the industry. The Patent: Somarowthu's groundbreaking patent centers around an arrangement for data recording and sampling for agricultural machines. This innovative system comprises a sensor set-up arrangement designed to detect properties within a material stream. Additionally, the invention includes means for extracting samples from the material stream and an electronic control unit that coordinates the entire process. Functionality: Upon receiving a tripping signal, the electronic control unit initiates a sequence of actions for efficient data recording and sampling. The control unit instructs an actuator to position the sampling means correctly. Simultaneously, it commences recording raw sensor arrangement data in the memory. Once the sample is deposited at the desired location, the control unit halts the recording process and instructs the actuator to return the sampling means to an inactive position. Crucially, the identification data is also stored alongside the raw data in the memory, facilitating easy traceability and analysis.


Mahesh Somarowthu is undoubtedly a skilled innovator; however, he does not work in isolation. At Deere & Company, he collaborates with esteemed colleagues Stefan T Welsch and Georg A Kormann. Together, they contribute to the continuous improvement of agricultural machines, exploring new avenues of enhancing data collection methods for optimized farming processes. The impact of Somarowthu's invention goes beyond the boundaries of his company. Somarowthu's innovation facilitates accurate monitoring and analysis of material properties in agricultural settings by developing a more efficient data recording and sampling arrangement. This promotes effective decision-making, helps identify areas for improvement, and maximizes overall farm productivity.


Mahesh Somarowthu's inventive expertise in the agricultural machinery industry shines through his remarkable data recording and sampling arrangement patent. The cutting-edge solution developed by Somarowthu, in collaboration with Deere & Company, sets the stage for improved data collection and analysis techniques. As farmers aim for increased efficiency and sustainability, innovations like these are pivotal in driving the industry forward, ensuring optimal resource management, and generating higher yields.

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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