This book explores the latest advancements in sustainable soil and water management for crop production. It also examines the impacts of climate change, strategies for its mitigation, and the role of machine learning in assessing these effects. Key topics in this contributed volume include: a) enhancing agricultural sustainability through conservation practices, b) the impact of climate change on soil-water-crop systems, c) mitigation strategies for climate change in agriculture, and d) utilizing machine learning to assess climate change effects on crop production.

This book is an essential resource for graduate students, researchers, extension workers, and policymakers, who are seeking to advance sustainable agricultural practices and address the challenges posed by climate change.

Provides innovative approaches and technologies to sustain natural resources and build resilient agroecosystems Assesses the impact of climate change on soil-water-crop systems Couples crop simulation models with machine learning to assess climate change effects

Autorentext

Dr. Abd El-Hafeez Zohry is an emeritus professor in the Crops Intensification Research Department at the Field Crops Research Institute, Agricultural Research Center, Egypt. He earned his bachelors in general agriculture from El-Minia University, masters in agronomy from Al-Azhar University, and a PhD in crop physiology and production from Al-Azhar University. With 42 years of experience, he has published 47+ research papers, 2+ book chapters, 10+ books, and 4 extension bulletins on intensive cropping and crop rotations .

Dr. Samiha Ouda is currently working as an emeritus professor in the Water Requirements and Field Irrigation Research Department at the Soils, Water, and Environment Research Institute, Agricultural Research Center, Egypt. She holds a bachelors in agricultural economy from Cairo University, a masters in agronomy from Ain Shams University, and a PhD in crop physiology and management from Iowa State University. With 37 years of experience, she has published 98+ research papers, 7+ book chapters, and 12+ books on irrigation water management, modeling, agroclimatology, and climate change.

Inhalt
.- Chapter 1 Introduction. .- Part I: Innovative Cropping Systems for Resilience.- Chapter 2 Agroecological intensification of legume-cereal intercropping systems: The 4C approach..- Chapter 3 Innovative cropping systems to maximize the use of available natural resources. .- Part II: Augment the soybean intercropping system with maize.- Chapter 4 Enhancing the efficiency of light interception in soybean and maize intercropping system..- Chapter 5 Mitigation of shading stress on soybean varieties through intercropping with maize..- Chapter 6 Advanced soybean breeding techniques to alleviate biotic and abiotic stresses under intercropping. .- Part III: Untraditional approaches to maximize agricultural production.- Chapter 7 Opportunities and challenges of greenhouses and soilless agricultural systems in combating food insecurity..- Chapter 8 Using Fishponds Wastewater to Enhance Agricultural Crop Productivity and Sustainability..- Part IV: Climate change impacts and mitigation.- Chapter 9 Adaptation techniques to irrigation water shortages due to climate change..- Chapter 10 Climate change effects on sustainable field crops production in Egypt: challenges and prospective..- Chapter 11 AquaCrop model for simulating maize productivity with varying planting dates under deficit irrigation in the context of climate change..- Chapter 12 Legume-based intercropping systems mitigate climate change..- Chapter 13 Evaluating soil degradation processes and their exacerbation by climate change in the Nile Delta of Egypt..- Chapter 14 Impact of climate change drivers on soil microbial communities and nutrient cycling in agricultural soils in the Nile Delta of Egypt. .- Part V: Machin learning use in crop production.- Chapter 15 Climate change impacts on crop yield prediction: A machine learning perspective..- Chapter 16 Coupling process-based models with machine learning for robust predictions of soil, water, and crop dynamics..- Chapter 17 Fusion of process-based models, machine learning, and remote sensing for yield gap assessment..- Chapter 18 Conclusions, and Recommendations to Resilient Agroecosystems: Innovations in Cropping Systems and Climate Change Mitigation.