Remote Sensing for Crop Management: A Comprehensive Review

Author: Surbhi Pachori, Sunny Thakur, Akash Barela, Anamika Tomar, Sachin Prakash Nagre, Kumar Jai Anand, Teena Patel and S. K. Sharma

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Abstract

Diseases, pests, weeds, and other biotic or abiotic factors can cause significant financial losses to crops. It is crucial to detect these problems early to take preventive measures. Vegetation monitoring and precision agriculture are necessary for assessing crop health and identifying crop pests in terms of environmental risk assessment. Although remote sensing can give helpful data for agricultural production, there are a few challenges in employing this technique. The outcomes from remote sensing investigations might be difficult to comprehend. Various crops and cultivation environments may necessitate different forms of analysis, and identifying trends and patterns in data can be challenging. Precision agriculture remote sensing is based on indirectly assessing reflected radiation from soil and crops in agricultural fields. Remote sensing indices such as NDVI, LSWI, TVDI, SAVI, WDI, and others can be used to determine crop development and soil moisture from satellite imagery. Remote sensing is a cost-effective, comprehensive, simple, and rapid method of gathering information suitable for monitoring plant stress and disease by providing multitemporal and multispectral information. Thus, it can deliver accurate details continuously at a minimum cost, making it a valuable tool.

Keywords

Remote Sensing, Crop Assessment, Biotic Stresses, Abiotic Stresses, Vegetation Indices

Conclusion

Thus, the paper discusses the benefits of remote sensing as a tool for detecting and measuring both abiotic and biotic stressors in plants. It highlights the ease, cost-effectiveness, and comprehensiveness of remote sensing and notes that integrating information from various sensors can improve the sensitivity of detecting and measuring stressors. The paper also notes that remote sensing is already used for crop production forecasting, yield modelling, and stress detection in India. Finally, the passage emphasizes the usefulness of spectral remote sensing for the non-destructive estimation of plant growth and biophysical parameters.

References

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How to cite this article

Surbhi Pachori, Sunny Thakur, Akash Barela, Anamika Tomar, Sachin Prakash Nagre, Kumar Jai Anand, Teena Patel and S. K. Sharma (2023). Remote Sensing for Crop Management: A Comprehensive Review. Biological Forum – An International Journal, 15(2): 382-387.