• Yashraj Thelkar
• Shubham Shinde
• Additye Kadam
• Ritesh Dhatrak
• Divya Dhamdhere

Green Thumb is a comprehensive agro-solution powered by deep learning technology that addresses the challenges faced by the agricultural industry. It provides farmers with advanced tools and insights for optimizing crop management, including a leaf disease detection system, a crop recommendation system, and weather prediction capabilities. The leaf disease detection system accurately identifies and classifies various leaf diseases based on image analysis, enabling early detection and intervention to minimize yield losses. The crop recommendation system utilizes soil type and nutrient data to suggest appropriate crops for cultivation, promoting data-driven decision making and sustainable farming practices. Weather prediction capabilities provide farmers with valuable insights into upcoming weather patterns, enabling them to optimize irrigation schedules, implement proactive pest control measures, and make informed harvesting decisions. Green Thumb empowers farmers to improve crop productivity, reduce pesticide use, enhance crop quality, and promote sustainable farming practices.

Machine learning, CNN, Random Forest, Deep learning, Crop disease detection, Crop recommendation, Weather prediction, Sustainable farming, Harvest optimization, API keys, CSV files, Cloud backups

"GREEN THUMB: A COMPLETE AGRO SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.g503-g508, December-2023, Available :http://www.jetir.org/papers/JETIR2312658.pdf

"GREEN THUMB: A COMPLETE AGRO SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppg503-g508, December-2023, Available at : http://www.jetir.org/papers/JETIR2312658.pdf