Abstract
Although agriculture is regarded as the foundation of the Indian economy, there are times when plants are unable to develop to their full potential owing to a variety of factors, including pests, starvation, and other factors. In these situations, several types of fertilizers are utilized. However, a small-scale farmer is unable to apply fertilizer to hundreds of acres; thus, in these situations, our research is quite helpful for locating the areas where the plant growth is irregular. In order to increase yields, efficiency, and profitability for farmers, precision agriculture can assist farmers in monitoring crop health, soil nutrient levels, and water use, among other factors. The vegetation indices of the crop are calculated using satellite data by the crop stress monitoring system, which is essential for monitoring the developing field. The data was obtained using satellite images with varying levels of geographic and temporal resolution.
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Suhas, K.K., Kalyani, G., Surya, M.V.S.S. (2023). Precision Agriculture Through Stress Monitoring in Crops with Multispectral Remote Sensing Data. In: Shakya, S., Tavares, J.M.R.S., Fernández-Caballero, A., Papakostas, G. (eds) Fourth International Conference on Image Processing and Capsule Networks. ICIPCN 2023. Lecture Notes in Networks and Systems, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-99-7093-3_28
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DOI: https://doi.org/10.1007/978-981-99-7093-3_28
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