Design of wireless sensor node for drought monitoring in vineyards

Feng, Ying; Qi, Weimin

doi:10.1049/cp.2011.1079

Cited by 3 publications

(2 citation statements)

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“…In all these works, autonomous safe navigation is assumed to be available with the robot and algorithms have been proposed [15]. In many works, robotics approaches have been coupled with IoT-based approaches for vineyards [16][17][18][19][20][21][22][23][24]. It should be noted that all of these works implicitly depend on the navigation module of a mobile robot.…”

Section: Introductionmentioning

confidence: 99%

Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance

Ravankar

Rawankar³

et al. 2021

Agriculture

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In recent years, autonomous robots have extensively been used to automate several vineyard tasks. Autonomous navigation is an indispensable component of such field robots. Autonomous and safe navigation has been well studied in indoor environments and many algorithms have been proposed. However, unlike structured indoor environments, vineyards pose special challenges for robot navigation. Particularly, safe robot navigation is crucial to avoid damaging the grapes. In this regard, we propose an algorithm that enables autonomous and safe robot navigation in vineyards. The proposed algorithm relies on data from a Lidar sensor and does not require a GPS. In addition, the proposed algorithm can avoid dynamic obstacles in the vineyard while smoothing the robot’s trajectories. The curvature of the trajectories can be controlled, keeping a safe distance from both the crop and the dynamic obstacles. We have tested the algorithm in both a simulation and with robots in an actual vineyard. The results show that the robot can safely navigate the lanes of the vineyard and smoothly avoid dynamic obstacles such as moving people without abruptly stopping or executing sharp turns. The algorithm performs in real-time and can easily be integrated into robots deployed in vineyards.

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Section: Introductionmentioning

confidence: 99%

Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance

Ravankar

Rawankar³

et al. 2021

Agriculture

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“…In addition, matrix suction transform and climate change on the prediction of subgrade resilient modulus change and underground water level fluctuation related to the impact of single pile behavior. Therefore suction measurement and analysis is the important research content of unsaturated soil mechanics.In recent years, many scholars through the soil water characteristic curve predicts shear strength of unsaturated soils ( Vanapalli [1] ; Khalili and Khabbaz [2] ; Rassam and Cook [3] ) and permeability coefficient [4] . It also can be used to explain constitutive model related to unsaturated soil traits, theory, test and prediction method combining [5].The mining of soil water characteristic curve of unsaturated soil as the mining of consolidation curve the described relationship between the in void ratio and effective stress to the saturated soil [6] .…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Gravel Soils of Matrix Suction

Tang

Liao

Wang

et al. 2013

AMM

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Soil-water characteristic curve（SWCC）is closely relevant to two main factors which are structure and moisture content. According to the two factors the values of matrix suction of 45 groups experimental specimens within different moisture content and soil -stone ratio of unsaturated soil are get through filter paper method. Date analysis shows that relation between matrix suction and soil-stone ratio at different moisture states is of different characteristics. Relation between matrix suction and water content is notably nonlinear. Distribution of matrix suction is curved surface in the moisture and soil-stone ration state space which is the function of water content and soil-stone ratio, in which the axial plan is parallel to the axis of soil-stone ratio.At low water content,the matrix suction on the moisture content change is very sensitive, at high moisture content and closed to saturation stage matrix suction hardly changes along with water content and soil-stone ratio change. The curved surface which Located in the middle section ,the matrix suction on the change of water content are more sensitive, reduced with water content increasing; and in this phase the matrix suction is insensitive to the variation of soil-stone ratio. Finally, it is concluded that the saturation to describe the soil water characteristic curve is a bad choice, with moisture to depict the so. In contrast, directly using the water content to describe the soil water characteristic curve is better.

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Development of a Low-Cost Semantic Monitoring System for Vineyards Using Autonomous Robots

Ravankar

Watanabe

et al. 2020

Agriculture

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Many tasks involved in viticulture are labor intensive. Farmers frequently monitor the vineyard to check grape conditions, damage due to infections from pests and insects, grape growth, and to estimate optimal harvest time. Such monitoring is often done manually by the farmers. Manual monitoring of large vineyards is time and labor consuming process. To this end, robots have a big potential to increase productivity in farms by automating various tasks. We propose a low-cost semantic monitoring system for vineyards using autonomous robots. The system uses inexpensive cameras, processing boards, and sensors to remotely provide timely information to the farmers on their computer and smart phone. Unlike traditional systems, the proposed system logs data ‘semantically’, which enables pin-pointed monitoring of vineyards. In other words, the farmers can monitor only specific areas of the vineyard as desired. The proposed algorithm is robust for occlusions, and intelligently logs image data based on the movement of the robot. The proposed system was tested in actual vineyards with real robots. Due to its compactness and portability, the proposed system can be used as an extension in conjunction with already existing autonomous robot systems used in vineyards. The results show that pin-pointed remote monitoring of desired areas of the vineyard is a very useful and inexpensive tool for the farmers to save a lot of time and labor.

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Design of wireless sensor node for drought monitoring in vineyards

Cited by 3 publications

References 0 publications

Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance

Autonomous and Safe Navigation of Mobile Robots in Vineyard with Smooth Collision Avoidance

Experimental Study on Gravel Soils of Matrix Suction

Development of a Low-Cost Semantic Monitoring System for Vineyards Using Autonomous Robots

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