Abstract
The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of information and communication technologies (ICTs) in agriculture to meet all of these criteria serves the purpose of precision agriculture. As unmanned aerial vehicles (UAVs) can easily obtain real-time data, they have a great potential to address and optimize solutions to the problems faced by agriculture. Despite some limitations, such as the battery, load, weather conditions, etc., UAVs will be used frequently in agriculture in the future because of the valuable data that they obtain and their efficient applications. According to the known literature, UAVs have been carrying out tasks such as spraying, monitoring, yield estimation, weed detection, etc. In recent years, articles related to agricultural UAVs have been presented in journals with high impact factors. Most precision agriculture applications with UAVs occur in outdoor environments where GPS access is available, which provides more reliable control of the UAV in both manual and autonomous flights. On the other hand, there are almost no UAV-based applications in greenhouses where all-season crop production is available. This paper emphasizes this deficiency and provides a comprehensive review of the use of UAVs for agricultural tasks and highlights the importance of simultaneous localization and mapping (SLAM) for a UAV solution in the greenhouse.
Highlights
It is estimated that the world population will reach 10 billion by 2050 [1]
unmanned aerial vehicles (UAVs) technology has been popular recently, its applications in agriculture have increased very rapidly. Applications such as crop monitoring, spraying, irrigation, weed detection and mapping using aerial UAV images have been proposed in recent years
The general purpose of these studies is to achieve a maximum gain in factors such as energy, water, labor and yield, which are important for precision agriculture
Summary
It is estimated that the world population will reach 10 billion by 2050 [1] This situation highlights the problems of agricultural needs and demands. Smart farming makes crop management easier and more efficient by using technological equipment in proportion to the specific needs of crops. In this way, this approach aims to use agricultural chemicals more appropriately, to save energy and products, to prevent agricultural pollution, to use smart technology solutions and to create environmentally conscious production. This approach aims to use agricultural chemicals more appropriately, to save energy and products, to prevent agricultural pollution, to use smart technology solutions and to create environmentally conscious production All of these contribute significantly to crop productivity. Precision agriculture can combine multiple analysis processes and technological tools related to all stages of production, from planting to harvest [2]
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