The Influence of Accurate Weather Forecastes On Crop Guidanc

India is currently the world's second-most populous country, with the bulk of its citizens working in agriculture. Farmers are spreading fertilizer in arbitrary amounts without understanding the amount and composition of deficiencies, and they are cultivating the same crops over and over again...

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Bibliographic Details
Published in2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) pp. 654 - 659
Main Authors Begum, Rehana, Reddypalli, Bhaskar, Tatikonda, Laxmi Prasanna, Harshitha, G., Vuyyuru, Sowjanya
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.02.2024
Subjects
Agriculture
Crop recommendation
Crop yield prediction
Crops
Farmer decision support systems
Machine learning
Random forests
Redundancy
Soil
Soil analysis
Stability analysis
Weather forecasting
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Summary:India is currently the world's second-most populous country, with the bulk of its citizens working in agriculture. Farmers are spreading fertilizer in arbitrary amounts without understanding the amount and composition of deficiencies, and they are cultivating the same crops over and over again without attempting a new type. Thus, this has a direct impact on crop output in addition to acidifying the soil and destroying the top layer. Thus, in order to improve the system for farmers, we used machine learning techniques in its construction. In order to determine which crop is appropriate to plant given the anticipated weather and soil conditions, we will create a model that will forecast the weather for every month. All things considered, your proposal has a great deal of potential to change Indian agriculture. The aforementioned advice, along with an emphasis on precision, usability, and accessibility, will help you develop a useful tool that supports sustainable food production and gives farmers more authority.
DOI:10.1109/ESIC60604.2024.10481549