Growing a Revolution: Bringing Our Soil Back to Life
David Montgomery
Finalist for the PEN/E. O. Wilson Literary Science Writing Award "A call to action that underscores a common goal: to change the world from the ground up." —Dan Barber, author of The Third Plate For centuries, agricultural practices have eroded the soil that farming depends on, stripping it of the organic matter vital to its productivity. Now conventional agriculture is threatening disaster for the world’s growing population. In Growing a Revolution, geologist David R. Montgomery travels the world, meeting farmers at the forefront of an agricultural movement to restore soil health. From Kansas to Ghana, he sees why adopting the three tenets of conservation agriculture—ditching the plow, planting cover crops, and growing a diversity of crops—is the solution. When farmers restore fertility to the land, this helps feed the world, cool the planet, reduce pollution, and return profitability to family farms.
Award History
0 wins · 1 total
| Award | Year | Result | Category / Notes |
|---|---|---|---|
| PEN/E.O. Wilson Literary Science Writing Award | 2018 | Finalist | Secondary source |
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies
This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.
01 Central figures
None extracted with sufficient confidence.
02 Central places
None extracted with sufficient confidence.
These suggestions did not meet the normal display threshold and are more likely to be wrong.
- Kansas58%
- Ghana46%
03 Suggested argument
Restoring soil health by adopting conservation agriculture—ditching the plow, planting cover crops, and diversifying crops—can feed the world, cool the planet, reduce pollution, and return profitability to family farms.
Model confidence 74%
04 Reading orientation
35 / 100 academicSerious trade
An estimate of intended readership and scholarly apparatus—not quality or importance.
Confidence percentages are the model's own estimates. Profile confidence: 80%.