Soil Health Solutions for Sustainable Agriculture

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Soils".

Deadline for manuscript submissions: closed (25 January 2026) | Viewed by 1136

Special Issue Editor


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Guest Editor
Faculty of Sciences and Techniques, University Sultan Moulay Slimane, BP-523, Béni-Mellal 23000, Morocco
Interests: geology; mineralogy; geochemistry

Special Issue Information

Dear Colleagues,

Soil health is the foundation of sustainable agriculture and a critical factor for ensuring global food systems, environmental resilience, and biodiversity preservation. However, decades of unsustainable farming practices have eroded this foundation, resulting in declining soil fertility, widespread degradation, and increased vulnerability to climate change. This Special Issue addresses the urgent need for innovative, science-based solutions to restore and sustain soil health.

Central to this effort is soil analysis, which provides essential data on soil composition, nutrient availability, and microbial ecosystems. Emerging technologies, particularly artificial intelligence (AI), have the potential to transform soil health assessment, management, and prediction. AI-powered tools enable the integration of soil data with environmental and climatic variables, offering precise, real-time insights into soil conditions and health trajectories over the next decade. AI-supported predictive modeling allows farmers to anticipate challenges such as nutrient deficiencies and erosion, optimizing interventions to maintain soil productivity.

This Special Issue explores diverse strategies to rebuild soil structure and improve fertility, including conservation tillage, crop rotation, biofertilizers, and organic farming practices. It also emphasizes policy frameworks and community engagement as vital components of sustainable land management. Together, these approaches provide a roadmap to achieve resilient agricultural systems, enhanced carbon sequestration, and long-term environmental sustainability.

We hope this Special Issue inspires meaningful action and ensures that soil health remains a priority in global efforts toward sustainable agriculture.

Dr. Mohamed El-Baghdadi
Guest Editor

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Keywords

  • soil health
  • sustainable agriculture
  • soil restoration
  • soil analysis
  • artificial intelligence
  • conservation tillage
  • crop rotation
  • biofertilizers
  • predictive modeling
  • land management

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Published Papers (1 paper)

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Research

14 pages, 4352 KB  
Article
Potato-Based Cropping Systems Improve Soil Quality by Increasing the Content of Available Nutrients and Aggregate Structure
by Wei Zhou, Wen-Wen Song, Chun-Lian Jin, Feng-Jun Yan, Yi-Hong Kuang, Zhen-Dong Chen, Hao-Tian Yao, Yong Chen and You-Feng Tao
Agriculture 2026, 16(4), 435; https://doi.org/10.3390/agriculture16040435 - 13 Feb 2026
Viewed by 467
Abstract
Crop rotation plays a critical role in enhancing cropping intensity and ensuring food security. To evaluate its long-term effects on soil quality, a fixed-site field experiment established in 2014 including four cropping systems—winter fallow–rice (Oryza sativa L.) (FR), potato (Solanum tuberosum [...] Read more.
Crop rotation plays a critical role in enhancing cropping intensity and ensuring food security. To evaluate its long-term effects on soil quality, a fixed-site field experiment established in 2014 including four cropping systems—winter fallow–rice (Oryza sativa L.) (FR), potato (Solanum tuberosum L.) –maize (Zea mays L.) (PM), potato–rice (PR), and potato–rice → rapeseed (Brassica napus L.) –rice (RRPR)—was conducted. A minimum data set (MDS) was screened from 21 soil indicators via principal component analysis (PCA), and the soil quality index (SQI) was calculated by integrating membership functions and indicator weights to comprehensively evaluate the impact of different patterns on soil quality. Results showed that paddy–upland rotations (PR and RRPR) significantly improved soil physical properties, increasing soil moisture content, porosity, and macro-aggregate proportion by 2.27–10.17%, while reducing bulk density by 10.32–13.38%, compared to FR and PM. PR and RRPR rotations also increased total nitrogen (TN), available phosphorus (AP), and available potassium contents (AK) by 5.19–114.00% (p < 0.01). PM rotation notably enhanced available nutrients, with NH4+-N, AP, and AK rising by 3.65–243.50% (p < 0.05), compared to FR. The MDS-based SQI, comprising NH4+-N, AP, mean weight diameter, and soil porosity, showed a highly significant positive correlation with the total data set-based SQI (p < 0.0001). PM exhibited the highest and most stable SQI, exceeding other systems by 8.15–19.30%, while PR and RRPR increased SQI by 9.04–10.30%, compared to FR. In conclusion, potato-based cropping systems enhance soil quality by improving soil structure and increasing nutrient content and availability. The results of this study provide a theoretical basis for nutrient management and sustainable production in cropping systems. Full article
(This article belongs to the Special Issue Soil Health Solutions for Sustainable Agriculture)
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