Advanced AI Plant Disease Detection Technology

The original patent, 'Detection of plant diseases with multi-stage, multi-scale deep learning', presented a significant advancement in plant disease detection. However, it relied solely on image processing and machine learning. The new invention addresses the limitations of the original patent by incorporating additional technologies to enhance the accuracy, integrity, and transparency of disease detection and classification.

The new claims introduce novel synergistic combinations of technologies, including IoT, blockchain, AI, and novel materials, which significantly enhance the accuracy, integrity, and transparency of plant disease detection and management. These combinations are non-obvious and provide a significant improvement over the original patent.

Other ways to implement the invention include integrating the deep learning model with other sensing technologies, such as drones or satellite imaging, to gather more comprehensive environmental data. Additionally, the system could be adapted for use in different agricultural settings, such as greenhouses or vertical farming.

The invention has significant commercial potential in the agricultural technology industry, particularly in precision agriculture, crop protection, and farm management. The market for plant disease detection and management systems is growing rapidly, driven by the need for sustainable and efficient agricultural practices.