A team of scientists led by Yosuke Toda, Designated Assistant Professor at the Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, and Fumio Okura, Assistant Professor at the Institute of Scientific and Industrial Research,Osaka University, have developed a system which utilizes image analysis and artificial intelligence (AI) to automatically and precisely analyze the shape of large numbersof seeds from a single image. As the shape of the seed is an important agronomic trait that is closely linked to the yield and quality of crops, a method for automatically determining and evaluating suchfrom an image is an indispensable tool for plant breeding. However, creating the training dataset is laborious and time consuming, especially when the number of objects to annotate is as large as it is in the case of seeds. To date,it has been difficult to quickly and conveniently analyze the number of seeds of different crop species at once.