Remote Sensing Analysis of Agricultural Drone

Meivel, S.; Maheswari, S.

doi:10.1007/s12524-020-01244-y

Cited by 22 publications

(9 citation statements)

References 12 publications

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“…Adobe Photoshop used to fix deformation and other imageaprocessing techniques [ 26 ] Agisoft Photos can utilized to create orthomosaics and 3D models. It also enables the computation of vegetation indexes [ 27 ] QGIS a method that is frequently employed to determine vegetation indices from spectral bands data [28].…”

Section: Software Programmentioning

confidence: 99%

Review on Drone application methodologies in agriculture precision

Wadod,

Mohammed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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In recent times, Drone use has increased significantly in the field of precise agriculture. These aircraft, which are equipped with thermal and multi-spectrum cameras, allow us to increase agricultural production in proportion to the increasing demand of the population and monitor crops grown in large areas, which is a very difficult task given the large areas of fields and the standards required for the successful cultivation of the crop in terms of soil moisture and fertility, proximity to water sources, and the possibility of its delivery In a way that reduces the waste of this water. Fields are at risk of crop damage due to diseases to crops caused by insects and pests, as drones can be used to spray pesticides and fertilizers in a way that reduces the health risks to people when spreading them manually. In this research paper, we will address several previous research related to the use of sensor and drone techniques in the field of precision agriculture and their efficiency in helping to sustain production and increase crop yields.

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Section: Software Programmentioning

confidence: 99%

Review on Drone application methodologies in agriculture precision

Wadod,

Mohammed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Likewise, [85] proposed a soil nutrient control system that can manage the concentration of nutrients in the soil by planting sensors in the soil to map nutrient variability. Also, [86] developed an innovative device that uses a cameraintegrated drone for field mapping. Images are analyzed to generate soil moisture and nutrient values and use them for irrigation planning and scheduling.…”

Section: Soil Moisture-basedmentioning

confidence: 99%

An overview of IoT based intelligent irrigation systems for greenhouse: Recent trends and challenges

Ardiansah

Bafdal²,

Bono

et al. 2022

J Appl Eng Science

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Food security is an issue that arises as a result of the rising population since population growth decreases agricultural land, leading to water scarcity. Agriculture requires large amounts of water, but water scarcity forces farmers to irrigate their crops with little or low-quality water, leading to the idea of developing smart irrigation. The challenge is how to manage the interactions between plants, growing media, microclimate, and water using manufactured systems. Good irrigation management will minimize the occurrence of poor irrigation design. This review is a way to present various methods and approaches for using sensors, controllers, the Internet of Things, and artificial intelligence in irrigation systems with a focus on improving water use efficiency. The study uses SCOPUS indexed publications and proceedings to study the evolution of irrigation information technology over the last eleven years. We hope this review can serve as a source of information to broaden the validity of the findings of irrigation monitoring and control technologies and help researchers identify future research directions on this subject.

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“…agricultural irrigation [3], emergency rescue [4], express delivery [5], environmental monitoring [6], and other fields. Figure 1 lists six application scenarios for quadrotor UAVs.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Indoor UAV Obstacle Avoidance Research

Xiong

Yan

et al. 2023

IEEE Access

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UAV obstacle avoidance technology is one of the key factors to realize UAV autonomous flight, efficient and accurate obstacle avoidance is significant to complete the UAV autonomous flight task. In contrast, the dynamic, real-time and uncertainty of the environment in which the UAV is located makes the problem very tricky, especially in the indoor environment. At present, a large number of scholars have shown strong interest in the indoor UAV obstacle avoidance problem. With the rapid development of computer technology and hardware devices, many intelligent algorithms have been proposed to solve the obstacle avoidance problem. However, the research on indoor UAV obstacle avoidance technology is not comprehensive enough, and there is a lack of summarization of the research results in recent years. This paper introduces the sensor modules commonly used for indoor UAV environment sensing, related obstacle avoidance methods based on sensory detection. Classifies and composes the commonly used UAV path planning obstacle avoidance algorithms, and gives several representative UAV flight control research methods. This paper summarizes the advantages and disadvantages of different perception modules and detection methods applied to UAV obstacle avoidance tasks, and compares various current path planning methods. Finally, the critical difficulties and challenges faced in the field of indoor UAV obstacle avoidance are discussed, and future research in the field of UAV obstacle avoidance has prospected.

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Remote Sensing Analysis of Agricultural Drone

Cited by 22 publications

References 12 publications

Review on Drone application methodologies in agriculture precision

Review on Drone application methodologies in agriculture precision

An overview of IoT based intelligent irrigation systems for greenhouse: Recent trends and challenges

A Survey of Indoor UAV Obstacle Avoidance Research

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