Search
Adapting crop production to climate change and air pollution at different scales

October 16, 2023 | Nature Food 

Introduction: Air pollution and climate change are interconnected challenges that impact field crop production and agroecosystem health. Adapting crop production to these simultaneous challenges will require complex mix of advanced technologies. Researchers from Nanjing University of Information Science & Technology in China and University of Bonn/INRES in Germany collaborated on comprehensive review of relevant science and technology. 

Key findings: At the plant level, scientists are integrating genetic diversity, employing molecular breeding, and utilizing advanced phenotyping methods to enhance crops' ability to withstand changing conditions. Field-level strategies involve optimizing cultivation practices, encouraging diverse crops, and implementing innovative technologies like antiozonants, nanotechnology, and robotic farming. These approaches aim to make agricultural systems more resilient and adaptive.

Ecosystem-level interventions include enhancing soil resilience, adopting precision agriculture, and modifying the hydrology and microclimate of agricultural landscapes. These broader measures contribute to sustainable farming practices. The goal is to develop strategies and opportunities that allow crops to thrive in the face of evolving environmental challenges. By comprehensively addressing air pollution and climate change, these recent advancements offer hope for ensuring food security and resilient agriculture in the future.

Read more

Fig. | Adaptation of crop production to air pollution and climate change at the plant, field and ecosystem levels.  

Viewed Articles
Adapting crop production to climate change and air pollution at different scales
October 16, 2023 | Nature Food |  Introduction: Air pollution and climate change are interconnected challenges that impact field crop production and agroecosystem health. Adapting crop production to t
Read More
IoT sensing for advanced irrigation management: A systematic review of trends, challenges, and future prospects
April 4, 2025 | Sensors | Introduction: The rapid proliferation of Internet of Things (IoT) technologies in agriculture has generated a large and diverse body of research, yet the field lacks a compre
Going deep: Roots, carbon, and analyzing subsoil carbon dynamics
January 01, 2024 | Molecular Plant | Source | Comment: Agricultural practices contribute significantly to atmospheric greenhouse gas emissions, with tillage accelerating soil disruption and carbon rel
Reinforcement learning-based model predictive control for greenhouse climate control
March, 2025 | Smart Agricultural Technology | Introduction: Model predictive control (MPC) is a promising approach for greenhouse climate management, but its reliance on accurate prediction models mak
Development of a low-cost smart irrigation system for sustainable water management in the Mediterranean region
October 30, 2024 | Smart Agricultural Technology | Introduction: Farmers in the Mediterranean region face competing pressures of water scarcity and the high cost of smart irrigation technology, yet mo
Intelligent survey method of rice diseases and pests using AR glasses and image-text multimodal fusion model
May 24, 2025 | Computers and Electronics in Agriculture |  Introduction: Timely and accurate monitoring of rice pests and diseases is essential for limiting production losses estimated at 10–30% of an
TOP