標題: Titlebook: Data Science in Agriculture and Natural Resource Management; G. P. Obi Reddy,Mehul S. Raval,Sanjay Chaudhary Book 2022 The Editor(s) (if a [打印本頁] 作者: Hermit 時間: 2025-3-21 19:50
書目名稱Data Science in Agriculture and Natural Resource Management影響因子(影響力)
書目名稱Data Science in Agriculture and Natural Resource Management影響因子(影響力)學科排名
書目名稱Data Science in Agriculture and Natural Resource Management網絡公開度
書目名稱Data Science in Agriculture and Natural Resource Management網絡公開度學科排名
書目名稱Data Science in Agriculture and Natural Resource Management被引頻次
書目名稱Data Science in Agriculture and Natural Resource Management被引頻次學科排名
書目名稱Data Science in Agriculture and Natural Resource Management年度引用
書目名稱Data Science in Agriculture and Natural Resource Management年度引用學科排名
書目名稱Data Science in Agriculture and Natural Resource Management讀者反饋
書目名稱Data Science in Agriculture and Natural Resource Management讀者反饋學科排名
作者: LARK 時間: 2025-3-21 22:22
Gerhard X. Ritter,Gonzalo Urcidus spatial data, and integration of these datasets with ground-based observational data significantly enhanced the capabilities in mapping, monitoring, and forecasting various earth system processes. ML algorithms have vast potential in monitoring earth resources to provide timely information for si作者: 魯莽 時間: 2025-3-22 02:59
Vassilis G. Kaburlasos,Gerhard X. Ritteright amount of pesticide, irrigation water, and nutrients. The typical components of Precision Farming include background data, record-keeping systems, data analysis, and decision-making process, specialized implementation equipment, and evaluation and revision. Significant benefits of precision agr作者: 重疊 時間: 2025-3-22 08:01
Angelos Barmpoutis,Gerhard X. Ritter by highlighting their computational efficiency and higher model interpretability in comparison with other earlier mentioned statistical learning techniques. This is followed by the introduction of basic terms and concepts necessary for understanding DT models and their associated statistical learni作者: MUTED 時間: 2025-3-22 11:14 作者: 殺死 時間: 2025-3-22 14:40
José Luis Verdegay,Julio Brito,Carlos Cruztes which are required by the specific consumer. The recommendations can be generated by using the endogenous and exogenous data captured through IoT sensors and AI modeling. The architecture is generic and solutions can be designed to work for a range of foods/crops. The architecture is designed to作者: 殺死 時間: 2025-3-22 18:46 作者: Notify 時間: 2025-3-23 00:47 作者: 樂器演奏者 時間: 2025-3-23 04:34
Simultaneous Phasing of Multiple Polyploidsusefulness of the current data sources and methods, this chapter presents a methodology that combines seasonal weather forecasts, geo-spatial information derived from remote-sensing, risks posed by extreme events and crop growth models to estimate production risk at a regional scale. The method was 作者: glomeruli 時間: 2025-3-23 09:25
https://doi.org/10.1007/978-3-319-24462-4asses, the clustering algorithms to group the objects into classes based on a given set of input variables, the regression algorithms to forecast a response variable from a given a set of covariates, and the dimensionality reduction algorithms to build a small set of new variables that includes most作者: Conspiracy 時間: 2025-3-23 13:46
Lecture Notes in Computer Sciencecussed ongoing digital augmentation efforts for accelerating agroecological transition through sustainable intensification of rice fallows in India. Systematic characterization of these rice fallows can be sustainably intensified to grow short-duration legume crops, vegetables and oilseeds between t作者: 羊欄 時間: 2025-3-23 17:21
https://doi.org/10.1007/978-3-319-09042-9ital Soil Mapping (DSM), ML integrated with spectroscopic soil studies is gaining momentum among the scientific communities. These innovative approaches have the capabilities to solve global issues like desertification, ecological stability, carbon pool management and climate mitigation in a holisti作者: Morose 時間: 2025-3-23 20:04
Lecture Notes in Computer Sciencehese rasters. Total 361 segments were considered for training, and testing of RF model, of which 130 segments belonged to SAS, and remaining segments represented other features and normal soils. In the study, 70% of samples were used for training and 30% for testing. The accuracy of trained models o作者: 并排上下 時間: 2025-3-23 23:54 作者: Systemic 時間: 2025-3-24 02:33
2197-6503 the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems..978-981-16-5849-5978-981-16-5847-1Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: FLASK 時間: 2025-3-24 07:21
Data Science in Agriculture and Natural Resource Management作者: Cupping 時間: 2025-3-24 13:30
Data Science—Algorithms and Applications in Earth Observationus spatial data, and integration of these datasets with ground-based observational data significantly enhanced the capabilities in mapping, monitoring, and forecasting various earth system processes. ML algorithms have vast potential in monitoring earth resources to provide timely information for si作者: 去才蔑視 時間: 2025-3-24 17:08 作者: 相反放置 時間: 2025-3-24 19:20
Data Science: Principles and Concepts in Modeling Decision Trees by highlighting their computational efficiency and higher model interpretability in comparison with other earlier mentioned statistical learning techniques. This is followed by the introduction of basic terms and concepts necessary for understanding DT models and their associated statistical learni作者: 無王時期, 時間: 2025-3-25 00:11 作者: fabricate 時間: 2025-3-25 04:20
An Architecture for Quality Centric Crop Production Systemtes which are required by the specific consumer. The recommendations can be generated by using the endogenous and exogenous data captured through IoT sensors and AI modeling. The architecture is generic and solutions can be designed to work for a range of foods/crops. The architecture is designed to作者: Physiatrist 時間: 2025-3-25 11:32 作者: conduct 時間: 2025-3-25 14:28
Machine Learning Approaches and Sentinel-2 Data in Crop Type Mapping the year 2018–19 (. season) was carried for Jhansi District using supervised classifiers like Random Forest (RF), Support Vector Machine (SVM) and Classification and Regression Trees (CART) in GEE platform and also with SMT with the help of ground data. It was attained nearly 81.8% accuracy for RF,作者: GROVE 時間: 2025-3-25 16:50 作者: inveigh 時間: 2025-3-25 22:49
Machine Learning Algorithms for Optical Remote Sensing Data Classification and Analysisasses, the clustering algorithms to group the objects into classes based on a given set of input variables, the regression algorithms to forecast a response variable from a given a set of covariates, and the dimensionality reduction algorithms to build a small set of new variables that includes most作者: 脊椎動物 時間: 2025-3-26 01:13
Geo-Big Data in Digital Augmentation and Accelerating Sustainable Agroecosystemscussed ongoing digital augmentation efforts for accelerating agroecological transition through sustainable intensification of rice fallows in India. Systematic characterization of these rice fallows can be sustainably intensified to grow short-duration legume crops, vegetables and oilseeds between t作者: 蝕刻 時間: 2025-3-26 08:16
Transforming Soil Paradigms with Machine Learningital Soil Mapping (DSM), ML integrated with spectroscopic soil studies is gaining momentum among the scientific communities. These innovative approaches have the capabilities to solve global issues like desertification, ecological stability, carbon pool management and climate mitigation in a holisti作者: archetype 時間: 2025-3-26 10:16 作者: 獨白 時間: 2025-3-26 13:57
Geoportal Platforms for Sustainable Management of Natural Resourcesey and Land Use Planning (NBSS&LUP) has developed Bhoomi geoportal as a robust?platform to provide various thematic services on land and allied resources as Web Map Service (WMS) to access, query, visualize, and disseminate the information to the users. Bhoomi geoportal offers various WMS on terrain作者: cataract 時間: 2025-3-26 17:38
Studies in Computational Intelligence use case of crop yield maximization, and through the applications of Deep Reinforcement Learning (Deep RL), showcase approaches for solving two important problems using Deep RL. Further, we showcase how these solutions can be deployed on production-ready cloud infrastructure, thus making our solutions more practical and scalable.作者: 旋轉一周 時間: 2025-3-26 22:12 作者: 主講人 時間: 2025-3-27 02:01
2197-6503 ndertake large-scale projects.Brings together a group of topThis book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters deal作者: Tortuous 時間: 2025-3-27 05:54
Book 2022a science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas.? The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the nee作者: 脫毛 時間: 2025-3-27 10:10 作者: 放逐 時間: 2025-3-27 15:34
978-981-16-5849-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 粗語 時間: 2025-3-27 19:38
G. P. Obi Reddy,Mehul S. Raval,Sanjay ChaudharyBinds the state-of-the-art use of data science concepts and applications.Provides detailed insight for the scientists and practitioners to undertake large-scale projects.Brings together a group of top作者: Spirometry 時間: 2025-3-28 01:53 作者: neuron 時間: 2025-3-28 05:21 作者: Cosmopolitan 時間: 2025-3-28 09:56
Gerhard X. Ritter,Gonzalo Urcidormation,?and insights from large datasets. The vital components of DS are identifying the reliable data sources, data curation, model building, planning and evaluation, results communication, and visualization. DS tools are being widely used for data collection, storage, extraction, cleaning, analy作者: ineptitude 時間: 2025-3-28 14:07
Vassilis G. Kaburlasos,Gerhard X. Ritter of Things (IoT), Remote Sensing, Global Positioning System (GPS), Aerial photography, it has become much easier to monitor crop health, identify in-season nutrient deficiencies, and other issues causing crop stress and reduced yield. Precision agriculture is an information and technology-based syst作者: 漂亮才會豪華 時間: 2025-3-28 14:46
Angelos Barmpoutis,Gerhard X. Ritterbility in diverse fields like Agriculture, Business, Education, Finance, and Healthcare for solving problems like Annotating Genome Sequences, Automation in Manufacturing Industry, and Medical Image Analysis. These problems require analyzing discrete structured and unstructured high-dimensional data作者: MUTED 時間: 2025-3-28 18:52 作者: 暫時休息 時間: 2025-3-28 23:59 作者: 損壞 時間: 2025-3-29 05:03 作者: DOSE 時間: 2025-3-29 08:07 作者: 煞費苦心 時間: 2025-3-29 13:54 作者: Eosinophils 時間: 2025-3-29 16:56 作者: 性學院 時間: 2025-3-29 21:36 作者: Allergic 時間: 2025-3-30 01:26
Lecture Notes in Computer Scienceagri-food systems transformation marching towards economically viable and ecologically sustainable options for healthy people and a healthy planet. Such transformation requires a systematic quantification and characterization of farming system dynamics and farm typology at much higher spatial and te作者: Erythropoietin 時間: 2025-3-30 06:01 作者: anachronistic 時間: 2025-3-30 12:08 作者: 天賦 時間: 2025-3-30 15:03 作者: peptic-ulcer 時間: 2025-3-30 17:04 作者: 美食家 時間: 2025-3-30 21:16 作者: 鞠躬 時間: 2025-3-31 02:10
Data Science: Principles and Concepts in Modeling Decision Treesbility in diverse fields like Agriculture, Business, Education, Finance, and Healthcare for solving problems like Annotating Genome Sequences, Automation in Manufacturing Industry, and Medical Image Analysis. These problems require analyzing discrete structured and unstructured high-dimensional data
