Coffee farmers use an app to spot crop diseases in the field
Translated from Vietnamese and summarized by DistantNews. Read the original for the full story.
At a glance
- Nearly 100 coffee-growing households in Cư M'gar, Đắk Lắk, joined a workshop on using digital tools to improve Robusta cultivation.
- PVCFC introduced App2Nông, which can help identify pests, nutrient deficiencies and weather conditions while organizing farm data.
- The app uses artificial intelligence to detect 61 pest and nutrient problems across six crops, with reported diagnostic accuracy above 95%.
Nearly 100 coffee-growing households in Cư M'gar, Đắk Lắk, were shown how to use a smartphone app to identify pests, monitor plant nutrition and collect data for more effective and sustainable farming.
The training took place at BM Farm, a large coffee plantation operated by BM Group, during a workshop titled “Increasing Robusta’s value through farming data.” Farmers practiced using App2Nông, a digital platform introduced by PetroVietnam Ca Mau Fertilizer Corporation, or PVCFC.
The app offers tools for diagnosing diseases, recognizing nutrient deficiencies, checking weather updates, receiving technical recommendations and managing production activities. It also allows growers to track farm inputs and digitize cultivation records.
However, at today’s workshop we have a surprise for farmers. We are not introducing fertilizer products anymore, but bringing the company’s technology product, App2Nông.
Nguyễn Bình Nguyên of PVCFC’s marketing division said the company had brought technology to the workshop instead of promoting fertilizer products. “However, at today’s workshop we have a surprise for farmers. We are not introducing fertilizer products anymore, but bringing the company’s technology product, App2Nông,” he said. “We went through a very long research process with the goal of serving and supporting farmers better.”
PVCFC says App2Nông was developed with artificial intelligence for the smart-farming era. Farmers can scan or photograph a plant to check for problems. The system covers 61 pest and nutrient conditions affecting six crops: coffee, pepper, durian, passion fruit, rice and orange trees. The company says its AI diagnosis has achieved accuracy of more than 95%.
We went through a very long research process with the goal of serving and supporting farmers better.
Originally published by Tuổi Trẻ in Vietnamese. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.