Original title: Applications of Remote Sensing in Precision Agriculture: A Review
Precision agricultureManaging different parts of a farm according to their specific needs, to improve production and reduce wasted inputs. means adjusting farm care to what different parts of a field need. Remote sensingGathering information about crops from a distance, for example with satellite or drone images. uses images from satellites or drones to monitor crops. These images can help identify needs related to water, fertilizer, pests, or disease, and can also support yield predictions. Some systems already use these observations to apply different amounts of fertilizer in different places. The review says that simpler, reliable tools are still needed for wider use.
Imagine cooking a meal for a group where some people need more food than others. Giving every person the same portion can leave some hungry and waste food elsewhere. In this paper, images of crops help farmers see which parts of a field need more or less care, so they can adjust what they apply instead of treating the whole field alike.
Farmers face pressure to grow more food while reducing wasted inputs and environmental harm. Remote sensing can help them monitor crops and guide decisions about water, fertilizer, pests, and disease, though the tools need to be easier to use for wider adoption.
The abstract describes a review of applications from 2015–2020, not a test showing that one approach works best. It does not quantify effects on yields, costs, or environmental impact. It also identifies complex image processing and the expertise required as barriers, and says simple, reliable real-time workflows still need development.
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Applications of Remote Sensing in Precision Agriculture: A Review — Rajendra P. Sishodia, Ram L. Ray, Sudhir Kumar Singh — Remote Sensing — doi:10.3390/rs12193136
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.