ArticleF1000Research2024
Harnessing Technological Advancements for Enhanced Crop Management: A Study on Capsicum Phenology and Automation in Agriculture.
Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
Background: Current advancements in communication and information have important impacts on the agricultural sector. Technology has been instrumental in developing innovative approaches to enhancing farming productivity and efficiency while also addressing environmental concerns. With the aid of technology, researchers can collect and analyze vast amounts of agricultural data, enabling a deeper understanding of farming practices and facilitating more informed decision-making through cutting-edge techniques. Methods: The study on Capsicum phenology introduces a nuanced approach by integrating statistical analysis specifically t-test and ANOVA to examine environmental parameters across various growth stages. This methodology offers a more detailed understanding a factors like temperature, humidity and soil moisture influence Capsicum development, providing a statistical foundation for adaptive crop management strategies. Results: The results demonstrated substantial variability in these parameters, emphasizing the importance of tailored crop management strategies. Conclusion: This research bridges a gap in Capsicum specific phenological studies and also sets a precedent for integrating statistical analysis with a smart agricultural technology paving the way for the development of autonomous crop management system that adapt to specific crop needs, thereby enhancing productivity and sustainability in agriculture.
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