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Download PDFOpen PDF in browserAgriculture Prediction Using MLEasyChair Preprint 125484 pages•Date: March 18, 2024AbstractAgriculture is one of the most important and widely practised professions in India, and it has contributed significantly to the growth of our nation. Around 60used for agriculture. Growing crop output is seen as a crucial component of agriculture since it helps meet the demands of 1.2 billion people. Using machine learning to solve practical and real-world crop productivity problems can be challenging. Usually, if we own a piece of land, we need to have a basic knowledge of the kinds of crops that ought to be grown there. Many aspects of the soil must be present for agriculture to thrive. Crop production is a challenging undertaking because it requires taking into account a number of factors, including temperature, soil type, humidity, and others. Making educated decisions about storage and business will be significantly simpler for farmers and other stakeholders if it is simple to locate the crop to be grown before seeding it. By monitoring agricultural regions based on soil qualities and counselling farmers on the best crop, the proposed project will assist in the settlement of agricultural difficulties by advising them on how to significantly increase production and decrease loss. According to the description, this study is a recommendation system that uses a number of machine learning techniques to suggest suitable crops based on input soil factors Keyphrases: Challenges and Limitations, Refrences, abstract, future scope, literature review, methodology Download PDFOpen PDF in browser |
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