9783330336780 - Crop Yield Prediction of Wheat using Clustering and Neural Network de Verma, Akanksha; Jatain, Aman; Bhaskar, Shalini (6 resultados)

Paperback. Condición: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Taschenbuch. Condición: Neu. Crop Yield Prediction of Wheat using Clustering and Neural Network | Akanksha Verma (u. a.) | Taschenbuch | 60 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783330336780 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prediction of agriculture yield with the help of data mining tools and techniques is one of the emerging research domains from past couple of years. Data Mining is emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Various seasonal, economic and biological factors influence the crop production but unpredictable changes in these factors lead to a great loss to farmers. Developing better systems to predict alter effectiveness in different climatic conditions can help farmer and distinctive accomplices in indispensable essential initiative to the extent agronomy and collect choice. An efficient framework is required in farming area to anticipate and enhance the product everywhere throughout the world. Because of inaccessibility of appropriate information, the many-sided quality of expectation of products is high because of which nature of forecast gets influenced. In information mining key advance in mining profitable information is grouping. This book describes trim forecast framework utilizing Fuzzy bunching strategies and neural system. 60 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Verma AkankshaAkanksha Verma is working as a Patent Analyst in CPA Global Private Limited Delhi. Her qualification includes M.TECH (CSE), B.TECH (CSE), Microsoft (NOVAEDGE) Certified Professional in JAVA fundamentals and Microsoft of.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Prediction of agriculture yield with the help of data mining tools and techniques is one of the emerging research domains from past couple of years. Data Mining is emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Various seasonal, economic and biological factors influence the crop production but unpredictable changes in these factors lead to a great loss to farmers. Developing better systems to predict alter effectiveness in different climatic conditions can help farmer and distinctive accomplices in indispensable essential initiative to the extent agronomy and collect choice. An efficient framework is required in farming area to anticipate and enhance the product everywhere throughout the world. Because of inaccessibility of appropriate information, the many-sided quality of expectation of products is high because of which nature of forecast gets influenced. In information mining key advance in mining profitable information is grouping. This book describes trim forecast framework utilizing Fuzzy bunching strategies and neural system.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prediction of agriculture yield with the help of data mining tools and techniques is one of the emerging research domains from past couple of years. Data Mining is emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Various seasonal, economic and biological factors influence the crop production but unpredictable changes in these factors lead to a great loss to farmers. Developing better systems to predict alter effectiveness in different climatic conditions can help farmer and distinctive accomplices in indispensable essential initiative to the extent agronomy and collect choice. An efficient framework is required in farming area to anticipate and enhance the product everywhere throughout the world. Because of inaccessibility of appropriate information, the many-sided quality of expectation of products is high because of which nature of forecast gets influenced. In information mining key advance in mining profitable information is grouping. This book describes trim forecast framework utilizing Fuzzy bunching strategies and neural system.