Cotton Plant Disease Detection

The cotton sector directly or indirectly generates more than 40% of rural employment and provides for nearly 50% of the population. Cotton plant disease is a condition that affects the growth, health, and productivity of cotton plants. There are many pathogens that can cause these diseases, including bacteria, fungi, viruses, and nematodes. This can result in reduced yields, lower quality cotton fibers, wilting, yellowing, leaf rolling, stunting, and reduced growth. The cotton industry is valued at around $40 billion annually and employs around 100 million people globally. Cotton plant diseases damage rural economies worldwide according to a UN report.

This solution was built using AITS Cainvas. Bring your AI models on MCUs with http://cainvas.ai-tech.systems/​. It requires no cloud, no internet, no electricity, no-software setup, no security. It runs in stealth mode with absolute privacy.

cAInvas is built on no-code, low-code and full-code principles for AI applications and models derived from all popular platform like TensorFlow, keras, PyTorch and others.

cAInvas is bolstered by native integration of deepC inference framework and a compiler designed for embedded devices. It comes with python and c++ notebooks to develop end-to-end application with autoML and ensemble of ML models.

Best of all, it is free for all students, researchers and hobbyists to spread fast adoption of ML models for tiny devices. Reach out for more information:
http://www.ai-tech.systems/
[email protected]
+1-408-372-7405


#tinyml #edge #lowcodeplatform #aitech #nocode #nocodeplatform #aitc #trending #recommended #Aitcscholar