AgroWorld: An Integrated Machine Learning and Blockchain Framework for Smart Agriculture

Abstract— One big thing that keeps farming vital is that it feeds people and supports economies. Still, old-school methods hit snags now and then - weather shifts mess things up, water or fertilizer gets wasted, choices come too late, and who touched what stays unclear. Tech moves fast, though. Smarter tools pop up. These mix clever algorithms, online dashboards, remote data storage, and trust layers baked into records.We looked around at studies already out there. Focus landed here: exact planting tactics, AI guessing which crops fit best, websites guiding growers, and digital trails tracking food from soil to shelf. Looking into how tech boosts output on farms while cutting waste and showing every step food takes be-fore it reaches people.Even with gains made, problems stick around - expensive setup, systems failing to work together, doubts about keeping data safe, plus many growers still unfamiliar with new tools. What comes through is a call for one clear system built for real users: able to grow when needed, guided by practical choices, with protected handling of information woven throughout. Index Terms- Smart farming, Precision agriculture, Machine learning, Crop recommendation system, Web-based agriculture, Blockchain, Supply chain manage-ment, Food traceability.