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Sustainability
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Innovations for Sustainable Agricultural Intensification
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Innovations for Sustainable Agricultural Intensification

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Agriculture".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 1798

Special Issue Editors

Prof. Dr. P.V. Vara Prasad

E-Mail Website
Guest Editor
Sustainable Intensification Innovation Lab, Kansas State University, Manhattan, KS 66506, USA
Interests: sustainable intensification innovation; food security; crop stress physiology; climate change
Special Issues, Collections and Topics in MDPI journals
Dr. Prakash Kumar Jha

E-Mail Website
Guest Editor
Sustainable Intensification Innovation Lab, Kansas State University, Manhattan, KS 66506, USA
Interests: sustainable intensification; crop modeling; remote sensing; water management; precision agriculture
Dr. Surendra Singh

E-Mail Website
Guest Editor
Columbia Basin Agricultural Research Center, Oregon State University, Corvallis, OR 97331, USA
Interests: sustainable intensification; nutrient dynamics; soil health for resilient dryland farming

Special Issue Information

Dear Colleagues,

Global food production systems reel under pressure of abiotic and biotic stress in a changing climate. In order to feed the growing population with declining arable land and resources, production practices need to be intensified. However, to make the intensification process more sustainable, multiple innovations are being adopted worldwide. Sustainable agricultural intensification typically aims to trade-off the demand for increased yields within a range of socioeconomic and ecological goals.  Therefore, continuous innovative and cross-disciplinary studies on different aspects of agricultural intensification are required to evaluate the sustainability of these agricultural production systems.

This Special Issue comprises selected original papers, reviews, and short notes related to the analysis of different types of agroecosystems, crop production practices, and management strategies (including methodologies such as tools and early-warning systems) which address the challenges of food security, climate change, and resource conservation. Innovative and sustainable techniques are also encouraged in the field of precision and digital agriculture, but not limited to crop modeling, remote sensing, spaceborne field sensors, climate manipulation field and lab experimentation. Numerical and experimental investigations and case studies addressing the above key topics are welcome. Interdisciplinary, innovative, and sustainability studies for intensified agricultural systems are most welcome.

Prof. Dr. P.V. Vara Prasad
Dr. Prakash Kumar Jha
Dr. Surendra Singh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable water management
  • risk assessment through precision and digital agriculture
  • reducing greenhouse gas emissions
  • nutrient use efficiency
  • farming system resilience
  • enhancing soil health
  • crop and soil modeling approaches
  • crop diversification
  • smallholder farming innovation
  • integrated farming system
  • small-scale farm mechanization
  • soil amendments
  • restoring land degradation

Published Papers (1 paper)

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Research

17 pages, 5291 KiB  
Article
An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration
by Haoteng Zhao, Liping Di, Liying Guo, Chen Zhang and Li Lin
Sustainability 2023, 15(17), 12908; https://doi.org/10.3390/su151712908 - 26 Aug 2023
Cited by 3 | Viewed by 1158
Abstract
Given the increasing prevalence of droughts, unpredictable rainfall patterns, and limited access to dependable water sources in the United States and worldwide, it has become crucial to implement effective irrigation scheduling strategies. Irrigation is triggered when some variables, such as soil moisture or [...] Read more.
Given the increasing prevalence of droughts, unpredictable rainfall patterns, and limited access to dependable water sources in the United States and worldwide, it has become crucial to implement effective irrigation scheduling strategies. Irrigation is triggered when some variables, such as soil moisture or accumulated water deficit, exceed a given threshold in the most common approaches applied in irrigation scheduling. A High-Resolution Land Data Assimilation System (HRLDAS) was used in this study to generate timely and accurate soil moisture and evapotranspiration (ET) data for irrigation management. By integrating HRLDAS products and the crop growth model (AquaCrop), an automated data-driven irrigation scheduling approach was developed and evaluated. For HRLDAS ET and soil moisture, the ET-water balance (ET-WB)-based method and soil-moisture-based method were applied accordingly. The ET-WB-based method showed a 10.6~33.5% water-saving result in dry and set seasons, whereas the soil moisture-based method saved 7.2~37.4% of irrigation water in different weather conditions. Both of these methods demonstrated good results in saving water (with a varying range of 10~40%) without harming crop yield. The optimized thresholds in the two approaches were partially consistent with the default values from the Food and Agriculture Organization and showed a similar trend in the growing season. Furthermore, the forecasted rainfall was integrated into this model to see its water-saving effect. The results showed that an additional 10% of irrigation water, which is 20~50%, can be saved without harming the crop yield. This study automated the data-driven approach for irrigation scheduling by taking advantage of HRLDAS products, which can be generated in a near-real-time manner. The results indicated the great potential of this automated approach for saving water and irrigation decision making. Full article
(This article belongs to the Special Issue Innovations for Sustainable Agricultural Intensification)
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