Precision agriculture research papers

Short essay description
Smartphones have become a useful tool in agriculture because their mobility matches the nature of farming, the cost of the device is highly accessible, and their computing power allows a variety of practical applications to be created. Moreover, smartphones are nowadays equipped with various types of physical sensors which make them a promising tool to assist diverse farming tasks. This paper systematically reviews smartphone applications mentioned in research literature that utilize smartphone built-in sensors to provide agricultural solutions. The initial 1, articles identified through database search were screened based on exclusion criteria and then reviewed thoroughly in full text, resulting in 22 articles included in this review.
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The precision agriculture market to reach € 3.7 billion worldwide in 2025

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Precision Agriculture | Home

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Plant phenotyping is a central task in crop science and plant breeding. It involves measuring plant traits to describe the anatomy and…. While standard visible-light imaging offers a fast and inexpensive means of quality analysis of horticultural products, it is generally…. Image processing technologies are available for high-throughput acquisition and analysis of phenotypes for crop populations, which is of…. Cassava is the 6th most important source of dietary energy in the world but its root system architecture RSA had seldom been quantified.
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Drones allow farmers to constantly monitor crop and livestock conditions by air to quickly find problems that would not become apparent in ground-level spot checks. Precision agriculture PA , satellite farming, or site-specific crop management SSCM is a farming management concept based on observing, measuring, and responding to inter and intra-field variability in crops. It refers to the way farmers manage crops to ensure the efficiency of inputs such as water and fertilizer and to maximize productivity, quality, and yield. The goal of precision agriculture research is to define a decision support system DSS for whole-farm management with the goal of optimizing returns on inputs while preserving resources.
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