Conservation Agriculture Research Updates - April 2026
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Conservation Agriculture Research Updates - April 2026
See our full research database for more CA articles at https://www.zotero.org/groups/348525/cornell_conservation_agriculture/collections/KGBFX8BX  See our CA web site at https://soilhealth.org and click the "Research" menu item and then "How to use database" so you can apply to join our Zotero CA group to better able to look at the data in our CA database.
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Scooped by Cornell Conservation Agriculture Group (soilhealth.org)
June 28, 2025 4:24 PM

A novel index for mapping crop residue covered cropland using remote sensing data.

Zhang, W., Li, W., Wang, C., Yu, Q., Tang, H. & Wu, W. 2025. Computers and Electronics in Agriculture. 231. Article 109995.

https://doi.org/10.1016/j.compag.2025.109995

Cornell Conservation Agriculture Group (soilhealth.org)'s insight:

This paper from China looks at remote sensing to measure the important need for crop residue cover in CA that protects the soil from erosion and enhances soil health. Accurate and rapid mapping of crop residue covered crop land (CRCC) is important for monitoring tillage practices. To overcome problems with measuring residue this study proposes a crop residue covered spectral index (CRCSI) based on spectral and separability analysis of Sentinel-2A images. Three study cases in different seasons and regions were selected to develop and assess the performance of the CRCSI that showed the reliability and superiority of the index from three aspects: visual evaluation, separability analysis and CRCC mapping results.

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Scooped by Cornell Conservation Agriculture Group (soilhealth.org)
October 30, 2020 3:18 PM

Evaluation of Soil Management Effect on Crop Productivity and Vegetation Indices Accuracy in Mediterranean Cereal-Based Cropping Systems.

Orsini, R., Fiorentini, M. & Zenobi, S. 2020. Sensors (Switzerland). 20 (12): 1-18. https://doi.org/10.3390/s20123383

Cornell Conservation Agriculture Group (soilhealth.org)'s insight:

This interesting paper used multi-spectral cameras to measure how long-term CA practices relate to vegetation index. They used a long-term rainfed 2-year rotation with durum wheat and maize including two unfertilized soil treatments were repeated in the same plots every year in Italy. The soil management affects the vegetation indexes’ accuracy, which is related to the nitrogen nutrition status. No-tillage management, which is characterized by a higher content of soil organic matter and nitrogen availability into the soil, allows obtaining a higher accuracy than the conventional tillage. So, the users of multispectral cameras for precision agriculture applications must take into account the soil management, organic matter, and nitrogen content.

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