Crop yields are rising more slowly than they were several decades ago (J. A. Foley et al. Nature 478, 337–342; 2011). This is especially evident in Europe, and has serious implications for its responsibilities in global food production.Food production capacity is faced with an ever-growing number of challenges, including a world population expected to grow to nearly 9 billion by 2050 and a falling ratio of arable land to population. agricultural innovations focusing on seed, the most vital and critical agricultural input.
Using data mining in agriculture represents a new opportunity to improve process and plant performance. These methods which integrates machine learning, clustering and optimizations algorithms are helping to elucidate relations between traits and other markers.
ExperiMind’s pioneering technology has proved to assist in genetic marker based breeding ; as well as analyses results of crops to identify factors that affects yield and throughput.