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| Paper Title: | IMPROVING A SMART FARMING OF PREDICTIONS FOR PADDY CROP YIELDS USING GRADIENT BOOSTING MACHINE LEARNING ALGORITHM |
| Authors Name: | Kankanala Pranith Reddy , K.Chaitanya Kumar Reddy , K.Harsha Vardhan , K.Jashwanth reddy , Dr.T.Veeramani |
| Unique Id: | IJSDR2404107 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Agriculture performs a crucial position inside the economic improvement of our united states. Financial system. It is a rural component that has contributed to human progress. It is India An agricultural u. S. And its complete economy depend upon the manufacturing of agricultural vegetation. Agriculture quarter is the foundation of the whole thing in our U. S. Crop choice is critical in the agricultural device. Determining yield depends on different factors Limitations together with marketplace cost, production degree and exclusivity Public Policy There is a want for plenty upgrades within the agriculture quarter. We need to sell changes in our Indian economy. There can be improvement in agriculture A device getting to know technique is used, that is effective Part of subculture. With all tactics of engineering and innovation He also used it to acquire precious and correct statistics on diverse matters. It performs a large function. The machine is designed to feature A selection tree regression, yield willpower approach using random wooded area With the purpose that this challenge might be well worth the farming and tough work of many people improves our Indian economic system. Crop production |
| Keywords: | Agricultural Prediction, Crop Management, Gradient Boosting, Machine Learning, Paddy Crop Yield, Prediction, Yield Optimization |
| Cite Article: | "IMPROVING A SMART FARMING OF PREDICTIONS FOR PADDY CROP YIELDS USING GRADIENT BOOSTING MACHINE LEARNING ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.771 - 776, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404107.pdf |
| Downloads: | 000338171 |
| Publication Details: | Published Paper ID: IJSDR2404107 Registration ID:210809 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 771 - 776 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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