AI in Agriculture

Seed quality significantly affects crop yield and production costs in sugar beet farming, yet traditional methods for sorting monogerm and multigerm seeds are inefficient and lead to seed loss—how can AI technology be leveraged to optimize seed classification and improve productivity?

Grading potatoes is difficult because it requires accurately sorting them by size and finding defects, which can be slow and inconsistent when done by hand. Which methods are currently used by farmers and potato growers to optimize their grading process?

How can we estimate sorghum yield easily? By using a smartphone to count sorghum seeds in the field, we tackle the challenge of simplifying the difficult and time-consuming process of manually counting thousands of tiny seeds, making it quicker and more accurate.

What is the challenge for breeding crops specifically for indoor vertical farming, and how can we enhance yield and resource efficiency in controlled environments? How can traits like compact plant architecture and high photosynthetic efficiency be optimized, particularly for crops like tomatoes?

The challenge in wheat farming is accurately estimating crop height, which is crucial for predicting yield and managing resources effectively. Traditional methods are time-consuming and often imprecise, but using AI and drones can provide faster, more accurate measurements to optimize crop management.

AI is transforming the quality control of grapes, blueberries, and kiwi in wine production by ensuring consistent, high-quality results. This technology helps producers easily monitor and maintain the best standards in their products.

How can we grow more food and produce more energy at the same time? This article looks at agrivoltaics, a system that combines farming with solar power, showing how it can help improve food production, make better use of land, and support clean energy.

This article explores the significance of peanuts as a cash crop, highlighting their major growing regions, nutritional and economic contributions, and innovative uses such as biodiesel production, showcasing the crop's versatility and sustainability.

Stress breeding, an emerging field in plant science, focuses on developing plant varieties capable of withstanding various environmental stresses. This approach aims to adapt to climate change by introducing new crop varieties and securing food production under changing environmental conditions

Speed breeding is an innovative approach in plant science that aims to accelerate the development of new crop varieties. This method, originally developed by NASA for space agriculture, has found significant applications in terrestrial crop improvement programs

Uncover the essentials of identifying limiting factors in agriculture to navigate challenges and optimize your crop yields and sustainability