Prediction Crop Yield Using (16 results)

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

Taschenbuch. Condition: 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. Condition: Neu. Crop Yield Prediction at various Districts of Karnataka using ML | Prathibhavani P. M. | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786205639528 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. PREDICTION OF CROP YIELD USING DEEP LEARNING | Purushotham Reddy M | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206159063 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Agriculture has been a civilization source. In India, agriculture is called as backbone, where their economy has been dependent largely depending on the production of crop. The significant part agricultural systems is selection of every crop. Furthermore, the election of crop relies on different aspects like price of market, rate or production, and several policies of government. Many of the reforms have been required in agriculture domain in order to enhance the Indian economy transformation. One can enhance the agriculture by simple machine learning (ML) models in agriculture domain. Besides with entire updates in technology and machinery utilized in agriculture, resourceful and precise data on several problems acts as a prominent role. The concept of this manuscript is to utilize a crop selection model such that, this model might assist in solving several farmer & agriculture related issues. Hence, it enhances the economy of India by improving the production of crop yield level. 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Climate change has had a negative impact on the performance of most crops in India over the previous two decades. Crop yield prediction ahead of time would assist farmers and policymakers in determining appropriate marketing, transportation, and storage strategies. This proposed method will assist farmers in determining the crop yield prior to the cultivation of the agricultural land, allowing them to make informed decisions. In this work, first identify the factors that influence crop output to effectively predict the yield. Temperature, soil moisture, humidity, solar radiation, and pH value are all important factors. Needed to collect and analyze data on these factors for our benefit and there are various ways or algorithms for such data analysis in crop prediction, and can predict the crop yield with the help of these algorithms. In this proposed method, would like to look at the problem from the perspective of Machine Learning by evaluating various algorithms such as Random Forest, Simple Linear Regression (SLR), and Neural Networks to guarantee that considered the best algorithm and achieve the highest possible accuracy. 52 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Agriculture has been a civilization source. In India, agriculture is called as backbone, where their economy has been dependent largely depending on the production of crop. The significant part agricultural systems is selection of every crop. Furthermore, the election of crop relies on different aspects like price of market, rate or production, and several policies of government. Many of the reforms have been required in agriculture domain in order to enhance the Indian economy transformation. One can enhance the agriculture by simple machine learning (ML) models in agriculture domain. Besides with entire updates in technology and machinery utilized in agriculture, resourceful and precise data on several problems acts as a prominent role. The concept of this manuscript is to utilize a crop selection model such that, this model might assist in solving several farmer & agriculture related issues. Hence, it enhances the economy of India by improving the production of crop yield level.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Climate change has had a negative impact on the performance of most crops in India over the previous two decades. Crop yield prediction ahead of time would assist farmers and policymakers in determining appropriate marketing, transportation, and storage strategies. This proposed method will assist farmers in determining the crop yield prior to the cultivation of the agricultural land, allowing them to make informed decisions. In this work, first identify the factors that influence crop output to effectively predict the yield. Temperature, soil moisture, humidity, solar radiation, and pH value are all important factors. Needed to collect and analyze data on these factors for our benefit and there are various ways or algorithms for such data analysis in crop prediction, and can predict the crop yield with the help of these algorithms. In this proposed method, would like to look at the problem from the perspective of Machine Learning by evaluating various algorithms such as Random Forest, Simple Linear Regression (SLR), and Neural Networks to guarantee that considered the best algorithm and achieve the highest possible accuracy.…

Condition: 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. …

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: M Purushotham ReddyI am Professor and Head of Information technology. I am a researcher and author for different books and journals.Agriculture has been a civilization source. In India, agriculture is called as backbone, where th.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Climate change has had a negative impact on the performance of most crops in India over the previous two decades. Crop yield prediction ahead of time would assist farmers and policymakers in determining appropriate marketing, transportation, and storage str.…

Taschenbuch. Condition: 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. Condition: 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Agriculture has been a civilization source. In India, agriculture is called as backbone, where their economy has been dependent largely depending on the production of crop. The significant part agricultural systems is selection of every crop. Furthermore, the election of crop relies on different aspects like price of market, rate or production, and several policies of government. Many of the reforms have been required in agriculture domain in order to enhance the Indian economy transformation. One can enhance the agriculture by simple machine learning (ML) models in agriculture domain. Besides with entire updates in technology and machinery utilized in agriculture, resourceful and precise data on several problems acts as a prominent role. The concept of this manuscript is to utilize a crop selection model such that, this model might assist in solving several farmer & agriculture related issues. Hence, it enhances the economy of India by improving the production of crop yield level.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Climate change has had a negative impact on the performance of most crops in India over the previous two decades. Crop yield prediction ahead of time would assist farmers and policymakers in determining appropriate marketing, transportation, and storage strategies. This proposed method will assist farmers in determining the crop yield prior to the cultivation of the agricultural land, allowing them to make informed decisions. In this work, first identify the factors that influence crop output to effectively predict the yield. Temperature, soil moisture, humidity, solar radiation, and pH value are all important factors. Needed to collect and analyze data on these factors for our benefit and there are various ways or algorithms for such data analysis in crop prediction, and can predict the crop yield with the help of these algorithms. In this proposed method, would like to look at the problem from the perspective of Machine Learning by evaluating various algorithms such as Random Forest, Simple Linear Regression (SLR), and Neural Networks to guarantee that considered the best algorithm and achieve the highest possible accuracy.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…