Description

Book Synopsis

.- Chapter 1_ Introduction.
.- 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.

.- 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.
.- 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.
.- 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.
.- 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”.

Aquaculture Development in Archipelago

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    £999.99

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    A Hardback by Estu Nugroho

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      View other formats and editions of Aquaculture Development in Archipelago by Estu Nugroho

      Publisher: Springer
      Publication Date: 07/09/2025
      ISBN13: 9789819510832, 978-9819510832
      ISBN10:

      Description

      Book Synopsis

      .- Chapter 1_ Introduction.
      .- 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.

      .- 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.
      .- 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.
      .- 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.
      .- 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”.

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