Produktbild: Mathematical Modeling in Agriculture

Mathematical Modeling in Agriculture

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.11.2024

Herausgeber

Sabyasachi Pramanik + weitere

Verlag

Wiley

Seitenzahl

464

Gewicht

857 g

Sprache

Englisch

ISBN

978-1-394-23369-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.11.2024

Herausgeber

Verlag

Wiley

Seitenzahl

464

Gewicht

857 g

Sprache

Englisch

ISBN

978-1-394-23369-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Mathematical Modeling in Agriculture
  • Preface xiii

    1 Analyzing the Impact of Food Safety Regulations on Agricultural Supply Chains: A Mathematical Modeling Perspective 1
    Nimit Kumar, Shwetha M.S., Govind Shay Sharma, Nitin Ubale, Nuzhat Fatima Rizvi and Dharmesh Dhabliya

    1.1 Introduction 2

    1.2 Resources and Techniques 4

    1.3 Results and Analysis 6

    1.3.1 Knowledge, Application, and Obstacles to Food Modeling 6

    1.3.2 Obstacles to Our Company's Use of Mathematical Modeling 7

    1.4 Conclusion 12

    References 13

    2 Modeling the Effects of Land Degradation on Agricultural Productivity: Implications for Legal and Policy Interventions 17
    Amit Verma, Istita Auddy, Murli Manohar Gour, Dhwani Bartwal, Sukhvinder Singh Dari and Ankur Gupta

    2.1 Introduction 18

    2.2 Materials and Procedures 20

    2.2.1 Content of Minerals 23

    2.3 Results and Analysis 24

    2.4 Conclusion 28

    References 29

    3 Mathematical Modeling of Carbon Sequestration in Agricultural Soils: Implications for Climate Change Mitigation Policies 33
    Kailash Malode, Brijpal Singh Rajawat, Amar Shankar S., Ravindra Kumar, Deepti Khubalkar and Sabyasachi Pramanik

    3.1 Introduction 34

    3.2 Resources and Techniques 35

    3.2.1 Reference Trial 36

    3.2.2 Interviews with Agriculturists in London Suburb and Liverpool 38

    3.2.2.1 Overall Explanation of the Sampled Region and Organized Interviews 38

    3.2.3 Online Tools for Calculating CF 38

    3.3 Results 40

    3.3.1 Agricultural Data as Model I/P 40

    3.3.1.1 Case Study 40

    3.3.1.2 From Discussions with Farmers 41

    3.3.2 Farms' Estimated GHG Emissions 43

    3.3.3 Effects of Mitigating Measures 44

    3.4. Discussion 44

    3.4.1 Evaluating the Possible Effects of Mitigating Measures 46

    3.5 Conclusions 47

    References 48

    4 Optimizing Livestock Feed Formulation for Sustainable Agriculture: A Mathematical Modeling Approach 51
    Rutul Patel, Upasana, Ashutosh Pattanaik, Deepak Kumar, Ahmar Afaq and Soma Bag

    4.1 Introduction 52

    4.2 Managing Swine Herds Using Modeling 53

    4.2.1 System of a Sow Herd 53

    4.2.2 Major Statistical Techniques Used in Modeling Cattle Herds 55

    4.2.2.1 Literature Review on Herd Modeling for Cattle 55

    4.2.2.2 Models for Simulation 56

    4.2.2.3 Models for Optimization 56

    4.2.2.4 The Integration of Simulation and Optimization 57

    4.3 Models of a Sow Herd 58

    4.3.1 Chosen Models 58

    4.3.2 Input Criteria 59

    4.3.2.1 Parameters Used as Inputs in Optimization Models 59

    4.3.2.2 Parameters Used as Inputs in Simulation Techniques 60

    4.3.3 Results from the Models 61

    4.3.4 The Models' Validation 62

    4.3.5 Opportunities for Implementation and Integration 63

    4.3.6 Management of Risk 64

    4.3.7 Additional Submissions and Literature Review 64

    4.4 Discussion 65

    4.5 Conclusions 68

    References 69

    5 Modeling the Economic Impact of Agricultural Regulations: A Case Study on Environmental Compliance Costs 81
    Vikesh Rami, Sunil Kumar, Gautham Krishna, Abhinav, Sukhvinder Singh Dari and Dharmesh Dhabliya

    5.1 Introduction 82

    5.2 Mechanisms Study Time and Location 83

    5.3 Sampling 85

    5.4 Analysis, Both Physical and Chemical 85

    5.5 Module for Water Quality 87

    5.6 Particulate Phosphorus and Suspended Solids 87

    5.7 Calculation of PP 88

    5.8 Model Caliphy 89

    5.9 Scientifications Described by the Model 94

    5.10 Simulation of Sediment Trap 96

    5.11 Pumping Profile Modifications Simulation 98

    5.12 Conclusion 98

    References 99

    6 Quantifying the Economic Benefits of Precision Agriculture Technologies: A Mathematical Modeling Study 103
    Deepak Kumar, Apexaben Rathod, Sachchida Nand Singh, Meena Y. R., Rushil Chandra and Ankur Gupta

    6.1 Introduction 104

    6.2 Method and Materials 107

    6.3 Conclusion and Results 110

    6.4 Conclusions 112

    References 113

    7 Optimizing Resource Allocation in Agribusinesses: A Mathematical Modeling Approach Considering Legal Factors 115
    Vishvendra Singh, Navghan Mahida, Anand Janardan Madane, Sudhakar Reddy, Parth Sharma and Sabyasachi Pramanik

    Introduction 116

    Methods 119

    A Framework for the Transmission and Command

    of Brucellosis: A Case Study Overview 120

    Brucellosis Nominal Transmission Modeling 120

    Modeling Disease Costs and Control Capabilities 124

    Creating a Cost Model and Confronting the Challenge of Control Design 125

    Analysis, Design, and Parameterization Techniques 127

    Overview of the Control and Surveillance Design 128

    Network Model Identification and Validation for Zoonoses 129

    Results 130

    Indicative Model 131

    Control Strategy Modeling 135

    Optimized Approaches 137

    Parameterization 143

    Discussion 143

    Wide-Ranging Perspectives on High-Performance Control 144

    Talking About Parameterzing Models 147

    Conclusion 148

    References 150

    8 Modeling the Dynamics of Agricultural Cooperatives and Legal Implications for Farmer Organizations 153
    Shiv Shankar Shankar, Prashantkumar Zala, Ashutosh Awasthi, Ezhilarasan G., Sukhvinder Singh Dari and Soma Bag

    8.1 Introduction 154

    8.2 Resources and Techniques 155

    8.3 Conclusion 160

    References 160

    9 Optimizing Agroforestry Systems for Sustainable Agriculture: A Mathematical Modeling Approach 163
    Beemkumar Nagappan, Aakriti Chauhan, Chandni Mori, Praveen Kumar Singh, Shilpa Sharma and Sabyasachi Pramanik

    9.1 Introduction 164

    9.2 Relationships Between Structure and Activity (SAR) and the Level of Toxicological Involvement 169

    9.3 Threshold Approaches 174

    9.4 Reciprocal Analysis 178

    9.5 Chemical-Specific Adjustments 183

    Conclusion 184

    References 185

    10 Simulating the Effects of Climate-Smart Agriculture Practices on Farm Resilience: A Mathematical Modeling Approach 189
    Kiran K. S., Meenakshi Dheer, Mukesh Laichattiwar, Devendra Pal Singh, Vaidehi Pareek and Soma Bag

    10.1 Introduction 190

    10.2 Definitions, Concepts, and Methods for the Analytical Framework 191

    10.3 Results 194

    10.4 Consequences for Political Implementations 203

    10.5 Advanced Research 204

    10.6 Conclusions 206

    References 207

    11 Modeling the Dynamics of Agrochemical Regulations and Impacts on Agricultural Productivity 211
    Hannah Jessie Rani, Akanchha Singh, Aishwary Awasthi, Ashwani Rawat, Nuvita Kalra and Ankur Gupta

    11.1 Introduction 212

    11.2 Resources and Techniques 213

    11.3 Results 216

    11.4 Discussion 217

    11.5 Conclusion 219

    References 220

    12 Optimizing Energy Consumption in Greenhouse Production: A Mathematical Modeling Approach 223
    Beemkumar Nagappan, Arun Gupta, Sachin Gupta, Diksha Nautiyal, Aarti Kalnawat and Dharmesh Dhabliya

    12.1 Introduction 224

    12.2 Literature Review 227

    12.3 The Creation of Mathematical Models a Range of Models 229

    12.4 Formulation of a Model 231

    12.5 Modeling of Groundwater Quality 242

    12.6 Conclusion 244

    References 244

    13 Analyzing the Economic and Legal Impacts of Intellectual Property Rights on Plant Breeding Innovations: A Mathematical Modeling Study 249
    Gopalakrishna K., Bhirgu Raj Maurya, Rajeev Kumar, Sushila Arya, Himanshi Bhatia and Ankur Gupta

    13.1 Introduction 250

    13.2 Competition Postulates 251

    13.3 Transparent Competition 251

    13.3.1 Effect of Competitiveness-Density 252

    13.3.2 Changes to the Population's Size Structure 252

    13.4 Concurrence Inter-Specific 253

    13.4.1 Adding Damage 254

    13.4.2 Neighborhood Function 256

    13.4.3 Innovative Design and Analysis 256

    13.5 Dynamic Plant Growth and Competition Models 256

    13.5.1 Dynamic Population 258

    13.6 Aspects Impacting the Result of Competitiveness 259

    13.7 Crop-Weed Competition Models Applied in Practical Situations 260

    13.8 Conclusion 261

    References 262

    14 Simulating the Effects of Land Use Regulations on Agricultural Land Values: A Mathematical Modeling Study 265
    Ashwani Rawat, Ramachandran T., Yogesh Chandra Gupta, Manoj Kumar Mishra, Gabriela Michael and Sabyasachi Pramanik

    14.1 Introduction 266

    14.2 Models of Component Agricultural Systems 267

    14.3 Present-Day Farming System Frameworks in Relation to Certain Application Situations 284

    14.4 Discussion 286

    References 290

    15 Simulating the Effects of Agricultural Land Fragmentation on Farm Effciency: A Mathematical Modeling Analysis 295
    Diksha Nautiyal, Manjunath H. R., Praveen Kumar Singh, Umesh Kumar Tripathi, Saurabh Raj and Soma Bag

    15.1 Introduction 296

    15.2 Conceptual Foundation 297

    15.3 Resources and Techniques Household Polls 299

    15.4 Results 306

    15.5 Discussion 313

    15.6 Conclusions 316

    References 317

    16 Simulating the Effects of Land Use Policies on Agricultural Productivity: A Mathematical Modeling Perspective 321
    Vinaya Kumar Yadav, Sushila Arya, Asha Rajiv R., Devendra Pal Singh, Siddharth Ranka and Dharmesh Dhabliya

    16.1 Introduction 322

    16.2 Upcoming Applications of NextGen Farming Frameworks 326

    16.3 Envisioned Consumers of the Application Chain Beneficiaries 331

    16.4 Conclusion and Research Plan 340

    References 341

    17 Quantifying the Economic Benefits of Agricultural Extension Services: A Mathematical Modeling Analysis 345
    Rajeev Kumar, Satendra Kumar, Pradeepa P., Akanchha Singh, Karun Sanjaya and Ankur Gupta

    17.1 Introduction 346

    17.2 Creating New Models for the Future: A Demand-Driven, Prospective Strategy 347

    17.3 Potential Improvements to Model Elements 355

    17.4 Conclusions 367

    References 368

    18 Modeling the Impact of Agricultural Investment Incentives on Rural Development: Legal and Economic Perspectives 373
    Dal Chandra, Manoj Kumar Mishra, Ankit Pant, Ahmadi Begum, Sukhvinder Singh Dari and Dharmesh Dhabliya

    18.1 Introduction 374

    18.2 Approach 376

    18.3 Conversation 384

    18.4 Conclusion 390

    References 391

    19 Optimizing Harvest Scheduling in Agriculture: A Mathematical Modeling Approach Considering Legal Restrictions 397
    Heejeebu Shanmukha Viswanath, Umesh Kumar Tripathi, Minnu Sasi, Kishore Kumar Pedapenki, Prashant Dhage and Ankur Gupta

    19.1 Initialization 398

    19.2 Structure of the System 406

    19.3 Irrigation Community Event 409

    19.4 Assessment and Authentication 412

    19.5 Conclusions 416

    References 418

    20 Quantifying the Economic Benefits of Agricultural Data Sharing: A Mathematical Modeling Perspective 421
    Aruno Raj Singh, Vinaya Kumar Yadav, Laishram Zurika, Dasarathy A. K., Abhishekh Benedict and Dharmesh Dhabliya

    20.1 Introduction 422

    20.2 Model for Data Mining Process 423

    20.3 Techniques for Machine Learning 424

    20.4 Website Tools 429

    20.5 Case Study: Grading of Mushrooms 431

    20.6 Conclusion 432

    References 433

    Index 437