Sustainable Agroecosystem Development Bridging Research and Development for Food, Income, and Nutrition Security

Agricultural practices have evolved significantly over the past decade due to rising food demand and the introduction of new technologies in mechanization and specialized approaches, along with increased chemical usage. While these changes have improved production, they have also posed challenges to the farm ecosystem, impacting food production, agricultural income, and crop nutritional quality. The integration of sensing technologies, robotics, and the Internet of Things (IoT) has led to precision agriculture, promoting sustainability through eco-friendly soil management, waste reduction, decreased chemical use, and higher agricultural product quality. Robotic process automation and artificial intelligence have enhanced farming precision and nutritional quality.

Modern technologies have conserved water resources through methods like smart irrigation, reducing harmful chemical runoff. Sensing technologies generate agricultural data, which, when combined with machine learning, enhances farming practices. Deep learning techniques have improved soil erosion mitigation. Intelligent decision-making in plant health monitoring reduces plant diseases and crop failure. Plant-based sensors facilitate real-time plant status monitoring, ensuring yield improvement. Machine learning has reduced chemical fertilizer use in organic farming. These advancements promise to unify agricultural practices, connect research efforts, and improve yields and income. Sustainable agriculture requires smart, circular cities supporting maximum yields and economic support for farmers. However, addressing challenges is essential for global adoption. The expected tenfold increase in food demand in the next decade necessitates advanced approaches. Factors influencing crop quality and yield require further research. Sensing technology integration for sustainability needs enhancement. Validation of sustainability indicators is incomplete, demanding further research. Implementing artificial intelligence-driven decisions requires precise machine-learning strategies. Creating a sustainable agricultural ecosystem by leveraging technology for smart farming management is crucial. We invite researchers to contribute to "Sustainable Agroecosystem Development: Connecting Agricultural Research and Development Pathways for Improved Food, Income, and Nutrition Security." In this Special Issue, we aim to foster a deeper understanding of Sustainable Agroecosystem Development by encouraging research contributions that address the following:

  • Implementing Precision Agriculture in Agroecosystem Development.
  • Agroforestry Models for Climate-Resilient Agroecosystems.
  • Digital Innovations Transforming Smallholder Farming.
  • Knowledge Transfer Strategies in Sustainable Agriculture.
  • Success Stories: Scaling Up Sustainable Agroecosystems.
  • Policy Frameworks for Sustainable Food Systems.
  • Socio-Economic Impact Assessment of Agroecosystem Development.
  • Ethics and Sustainability in Agricultural Practices.
  • Biodiversity Conservation within Agroecosystems.
  • Gender-Inclusive Approaches to Sustainable Agriculture.
  • Agroecosystem Development in Challenging Environments.
  • Indigenous and Traditional Knowledge in Modern Agriculture.
  • Long-Term Monitoring of Agroecosystem Performance.


Guest Editors & Co-GE Details:

Dr. Khang Wen Goh

Faculty of Data Science and Information Technology, INTI International University, Nilai, Negeri Sembilan, Malaysia.

E-Mail ID: [email protected] , [email protected]

Scholar Link:


Scopus ID: 57210704305

Research Interest: Swarm Intelligence, Machine Learning, Mathematical Programming, Numerical Optimization.


Dr. Shahriar Shahabuddin

Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.

E-Mail ID: [email protected]

Scholar Link:


Scopus ID: 55602195800

Research Interest: 6G, Massive MIMO, Digital Circuits and Systems, Application Specific Processor, 6G security.


Dr. Dhanamma Jagli

Department of Information Technology, Vivekanand Education Society's Institute of Technology,  University of Mumbai, Chembur, Mumbai, India.

E-Mail ID: [email protected]

Scholar Link:

Scopus ID: 55558153800

Research Interest: Data Science, Machine Learning, Artificial Intelligence, Data Mining.


Important Dates:

Manuscript Submission Deadline:          05-04-2024

Authors Notification:                               15-09-2024

Revised Papers Due:                                 25-11-2024

Final notification:                                      10-01-2025


Submission guidelines:

The journal's Guide for Authors on how to prepare a paper is available at  

The APC is followed by the Journal

Papers must be submitted electronically via

To ensure that all manuscripts are correctly identified for inclusion in the special issue, it is important to select the Section “Sustainable Agroecosystem Development”.

Any inquiries regarding the content of papers should be submitted to:

Dr. Khang Wen Goh: [email protected] , [email protected]