Increase Crop Yields and Protect Your Profits
from weed protection to storage
There is huge potential in the agriculture industry that can be realized and optimized through the use of AI technology. Whether in the preparation of soil, sowing of seeds, adding fertilizers, irrigation, weed protection, harvesting or storage.
Below you will find a selection of use cases you can do with zerocode.ai. But always keep in mind that the shown use cases are only for inspiration. The range of possibilities you can do is almost unlimited.
We monitor our plants using AI to detect early when they are affected by pests or diseases. This protects us from unnecessary losses
Soil and Crop Monitoring System
The type of soil and the nutrient content of the soil play an important role in the type of crops grown and the quality of the harvests. Due to increasing deforestation, soil quality is deteriorating and it is difficult to determine the quality of the soil.
Thanks to CV models, nutrient deficiencies in the soil as well as plant pests and diseases can be detected, giving farmers an idea of how to use fertilizers to help improve crop quality. Furthermore, soil analyses can be done. The results help farmers monitor soil and crop health and produce healthy crops with higher productivity.
Precision Farming &
In the future, AI will help farmers become agricultural technologists who use data to optimize yields down to individual crop rows.
With IoT- and AI-driven solutions, farmers can meet the world's food demand while sustainably increasing production and revenue without depleting valuable natural resources.
Other Use Cases: