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Author(s):

K.NAGAMANI | N.SANDEEP KUMAR
Keywords:

Smart Agriculture, Machine Learning, Weather Prediction, Crop Disease Detection,Image Processing, Deep Learning, Natural Language Processing (NLP), Web Application, Sustainable Farming.
Abstract:
Agriculture Is Very Important In The Economic Development And Food Security Of Most Nations, However, It Has Been Experiencing Major Threats Like Fluctuating Weather, Crop Infections And Lack Of Accessibility To Professional Agricultural Advice. The High Pace Of Developing Digital Technologies And Artificial Intelligence Has Presented New Possibilities To Overcome These Challenges Successfully. GRINOVA Application Is An Intelligent And Combined Smart Agriculture Support System Which Will Help Farmers Make Better Decisions By Integrating Weather Forecasting, Predicting Crop Diseases, And AI-assisted Chatbot Into One Platform. On The Whole, The AGRINOVA Application Is An Example Of How Artificial Intelligence And Data-driven Technologies Can Be Successfully Used To Transform Agriculture, Enhance Its Productivity, Minimize Risks, And Aid Sustainable Farming And, Thus, Is A Useful Instrument In The Context Of Smart Agricultural Management.