Michael R. Collins

Collins is a system engineer and knowledge scientist and was strategic architect for Bayer CropScience on its digital farming platform. He is president, founder, and architect of Advantage Development, Inc., in Westlake, OH. He can be reached at [email protected].
Digital Farming
June 30, 2021
4 Steps in the Decision Processes of Digital Farming
Contributing writer Michael Collins makes sense of the decision processes required in digital farming.
Digital Farming
May 12, 2021
Origins of Innovations: Identifying Future Demand in Digital Farming
A process for identifying needs in digital farming is explored by contributing writer Michael Collins.
Digital Farming
May 12, 2021
A Discovery of Process in Digital Farming: The Operational View
The repeatability of the operational model is replicated millions of times a year in digital farming and precision agriculture.
Digital Farming
November 2, 2020
Fostering a Culture of Innovation in Agriculture
We must understand technology to understand innovation and what we must do to prepare, embrace, manage, and deploy innovation, says contributor Michael Collins.
Digital Farming
June 1, 2020
Know Thyself: Self-Awareness Is Critical When Adopting New Ag Technology
“Knowing thyself” sets us up to thrive and prosper with new technology, says contributing writer Michael Collins.
Digital Farming
November 11, 2019
Agility in Digital Farming
Editor's note: This article is part of a series focused on digital farming. These articles represent the body of interest that Michael Collins has witnessed and collected. Please let him know what you think of this topic, or if...
Digital Farming
October 16, 2019
Technical Debt in Digital Farming
Technical debt is like any form of debt. It originates from any action taken now that requires a future action to cancel or mitigate it. Technical debt appears in every product approaching obsolescence. It impacts every stage of the...
Digital Farming
October 2, 2019
5 Fundamental Characteristics of a Viable Digital Farming Solution
If we are to believe the literature, all innovations have an S–Curve that models and describes their market acceptance. The S-Curve is a generalized model that plots product acceptance over time. This S-Curve also integrates to a normal curve.
The...
Analytics
August 2, 2018
Implementing Digital Farming’s Five Major Needs
Building a house starts with a plan and then a foundation; it does not start with doors and windows. From foundation the house progresses to walls and roof, and then the doors and windows. Building any system starts with...
Analytics
July 24, 2018
What is Digital Farming — Really?
The agricultural community has spent several years synthesizing an operational description for digital farming. In several cases, there have also been solutions put forth all claiming to be digital farming, but now, more than ever, there is as much...
Analytics
May 15, 2018
Digital Farming: Keep It Simple Analytics
In previous articles, I tried to lay out some logical components and processes that enable digital farming to get inside of the decision loop and provide decision quality outcomes. It is no surprise that digital farming is taking a...
Digital Farming
April 27, 2018
Where Is Imagery in Digital Farming?
I was recently asked, “Where is imagery in digital farming?” Imagery, especially from satellites and increasingly from drones, is often proposed or inferred as the core functionality of digital farming. Why else would almost every digital farming discussion center...
Analytics
April 13, 2018
7 Factors That Could Make or Break Digital Farming
Here are seven core concepts of digital farming and why they are important in the agricultural and digital world.
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Guidance
April 29, 2025