Computer-based sensors and actuators such as global positioning systems, machine vision, laser-based have progressively been incorporated into mobile robots with the aim of configuring autonomous systems capable shifting operator activities in agricultural tasks. However, incorporation many electronic a robot impairs its reliability increases cost. Hardware minimization, well software minimization ease integration, is essential to obtain feasible robotic systems. A step forward application...

Estimations of world population growth urgently require improving the efficiency agricultural processes, as well safety for people and environmental sustainability, which can be opposing characteristics. Industry is pursuing these objectives by developing concept “intelligent factory” (also referred to “smart factory”) and, studying similarities between industry agriculture, we exploit achievements attained in agriculture. This article focuses on those regarding robotics advance agriculture...

Weed control is a basic agricultural practice, typically achieved through herbicides and mechanical weeders. Because of the negative environmental impacts these tools, alternative solutions are being developed adopted worldwide. Following recent technical developments, an autonomous laser-based weeding system (ALWS) now offers possible solution for sustainable weed control. However, beyond proof performance, little known about adoption potential such system. This study assesses ALWS, using...

Autonomous robots in the agri-food sector are increasing yearly, promoting application of precision agriculture techniques. The same applies to online services and techniques implemented over Internet, such as Internet Things (IoT) cloud computing, which make big data, edge digital twins technologies possible. Developers autonomous vehicles understand that for must take advantage these on strengthen their usability. This integration can be achieved using different strategies, but existing...

Abstract Purpose Challenges in sustainable development envisioned the European Union for agricultural sector require innovation to raise efficiency of production and safety farming processes farmers ensure food consumers. One key productivity factors plant is effective weeding. The WeLASER project aimed develop a high-power autonomous vehicle with lasers control weeds. To be sustainable, invention should have high environmental performance whole life cycle perspective, including its...

Machine vision systems are becoming increasingly common onboard agricultural vehicles (autonomous and non-autonomous) for different tasks. This paper provides guidelines selecting machine-vision optimum performance, considering the adverse conditions on these outdoor environments with high variability illumination, irregular terrain or plant growth states, among others. In this regard, three main topics have been conveniently addressed best selection: (a) spectral bands (visible infrared);...

Robotic harvesters and grippers have been widely developed for fruit-picking tasks. However, existing approaches often fail to account the fruit’s post-harvest condition, leading premature decay due excessive grasping forces. This study addresses this gap by designing evaluating passive soft interfaces rigid robotic grippers, aiming handle delicate fruits vegetables while minimizing bruising. Using hyperelastic materials 3D printing, four different interface designs, including Gyroid, Grid,...

In recent years, there have been major advances in the development of new and more powerful perception systems for agriculture, such as computer-vision global positioning systems. Due to these advances, automation agricultural tasks has received an important stimulus, especially area selective weed control where high precision is essential proper use resources implementation efficient treatments. Such autonomous incorporate integrate acquiring information from environment, decision-making...

Drone images from an experimental field cropped with sugar beet a high diffusion of weeds taken different flying altitudes were used to develop and test machine learning method for vegetation patch identification. Georeferenced combined hue-based preprocessing analysis, digital transformation by image embedder, evaluation supervised learning. Specifically, six the most common algorithms applied (i.e., logistic regression, k-nearest neighbors, decision tree, random forest, neural network,...

Purpose The purpose of this paper is to propose going one step further in the simulation tools related agriculture by integrating fleets mobile robots for execution precision techniques. proposed new environment allows user define different mobiles and agricultural implements. Design/methodology/approach With computational tool, crop field, fleet sensors actuators that are incorporated into each robot can be configured means two interfaces: a configuration interface graphical interface,...

<abstract> <bold><sc>Abstract. </sc></bold>Currently, many systems (machine vision, high resolution remote sensing, global positioning systems, and odometry techniques) have been integrated into agricultural equipment to increase the efficiency, productivity, safety of individual in all field activities. This study focused upon assessing a satellite-based localization solution used straight path guidance an autonomous vehicle developed for applications. The was designed constructed under...

Mobile robots have become increasingly important across various sectors and are now essential in agriculture due to their ability navigate effectively precisely crop fields. Navigation involves the integration of several technologies, including robotics, control theory, computer vision, artificial intelligence, among others. Challenges robot navigation, particularly agriculture, include mapping, localization, path planning, obstacle detection, guiding control. Accurate detection crucial for...

In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or vehicle guidance purposes. Accuracy of detection is an important issue be addressed in image processing. There two main types parameters affecting the accuracy images, namely: (a) extrinsic, related sensor's positioning tractor; (b) intrinsic, sensor specifications, such as CCD resolution, focal length iris aperture, among...

This article upgrades the RC linear model presented for piezoresistive force sensors. Amplitude nonlinearity is found in sensor conductance, and a characteristic equation formulated modeling its response under DC-driving voltages below 1 V. The feasibility of such tested on four FlexiForce A201-100 sensors by varying sourcing voltage applied forces. Since proves to be valid, method obtaining specific sensitivity calculating appropriate feedback resistor driving circuit; this provides...

This paper presents a summary of the current state mobile robotics oriented to perform precision agricultural tasks on arable lands. Two approaches robot configurations are identified and some relevant examples mentioned in addition identifying trend agriculture, limitations, following steps as understood by authors for reducing gap increased inclusion everyday tasks.

This study presents the development of a route planner, called Mission Planner, for an agricultural weeding robot that generates efficient and safe routes both in field on farm using graph-based approach. planner optimizes robot’s motion throughout performs weed management tasks tailored high-power laser devices narrow-row crops (wheat, barley, etc.) wide-row (sugar beet, maize, etc.). Three main algorithms were integrated: Dijkstra’s algorithm to find most optimal farm, VRMP (Visibility...