The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs) platforms have enabled many practical applications in Precision Agriculture (PA) over the past decade. These PA tools offer capabilities that increase agricultural productivity and inputs’ efficiency minimize operational costs simultaneously. However, these also some constraints limit application UAVs operations. include limitations providing imagery adequate spatial temporal resolutions, dependency on weather...

An unmanned aerial vehicle-assisted water quality measurement system (UAMS) was developed for in situ surface measurement. A custom-built hexacopter equipped with an open-source electronic sensors platform to measure the temperature, electrical conductivity (EC), dissolved oxygen (DO), and pH of water. Electronic components were coated a water-resistant film, assembled flotation equipment. The measurements made at thirteen sampling waypoints within 1.1 ha agricultural pond. Measurements by...

Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds crop species using RGB image texture features with the comparison Support Vector Machine (SVM) classification model deep learning-based visual group geometry 16 (VGG16) models. A total 3792 images samples were captured from greenhouse, including 2271 1521 images. ReliefF feature selection algorithm applied select most important...

Traditional weed management often involves blanket herbicide spraying, resulting in substantial wastage, environmental concerns, and resistant issues. Smart spraying systems utilizing robotics sensors technologies can minimize usage provide a sustainable solution for site-specific management. A machine vision-based system was designed developed identification precise spray application onto the target weeds. The sprayer platform utilizes deep learning YOLOv4 model to accurately recognize...

Water quality assessment programs for the management of water resources require collection samples physical, chemical, and biological analyses. Lack personnel, accessibility bodies, time constraints, especially after natural disasters emergencies, are some challenges sampling. To overcome these challenges, a custom-made thief-style sampling mechanism was developed mounted on multirotor unmanned aerial vehicle (UAV) autonomous The payload capacity endurance UAV were determined using an indoor...

Water quality monitoring and predicting the changes in water characteristics require collection of samples a timely manner. sample based on situ measurable indicators can increase efficiency precision data while reducing cost laboratory analyses. The objective this research was to develop an adaptive sampling device for aerial robot demonstrate accuracy its functions field conditions. prototype consisted sensor node with dissolved oxygen, pH, electrical conductivity, temperature, turbidity,...

The objective of this research was to conduct in situ measurements electrical conductivity (EC), pH, dissolved oxygen (DO), and temperature, collect water samples simultaneously at different depths using an unmanned aerial vehicle (UAV). UAV system consists a hexacopter, sampling cartridges (WSC), sensor node. Payload capacity endurance the were determined indoor test station. able produce 106 N thrust for 10 min with 6.3 kg total takeoff weight. thrust-to-weight ratio 2.5 50% throttle....

Weed identification is fundamental toward developing a deep learning-based weed control system. Deep learning algorithms assist to build detection model by using and crop images. The dynamic environmental conditions such as ambient lighting, moving cameras, or varying image backgrounds could affect the performance of algorithms. There are limited studies on how different would impact for identification. objective this research was test in images with potting mix (non-uniform) black pebbled...

The foundation of contemporary weed management practices in many parts the world is glyphosate. However, dependency on effectiveness herbicide has led to overuse through continuous growth crops resistant a single mode action. In order provide cost-effective strategy that does not promote glyphosate-resistant biotypes, differences between and susceptible biotypes have be identified accurately field conditions. Unmanned Aerial Vehicle (UAV)-assisted thermal multispectral remote sensing...

<abstract> <b>Abstract.</b> Water quality assessment programs require the collection of water samples for physical, chemical and bacteriological analysis. Lack personnel, accessibility bodies time sampling after natural disasters emergencies are some challenges sampling. A mechanism was developed mounted on a multirotor unmanned aerial vehicle (UAV) autonomous from bodies. The payload capacity endurance hexacopter were verified using an indoor test station. equipped with floating foam,...

Evaluation of thermal stratification and systematic monitoring water temperature are required for lake management. Water profiling requires measurements through a column to assess the level which impacts oxygen content, microbial growth, distribution fish. The objective this research was develop functions system mounted on multirotor unmanned aerial vehicle (UAV). buoyancy apparatus UAV allowed vertical takeoff landing surface in situ measurements. sensor node that integrated with consisted...

Highlights The response of dicamba-susceptible soybean to three simulated rates and growth stages has been studied. Soybean physiological data, such as plant height phototoxicity, was collected at the selected stage. Aerial images experiment field using UAV were on specific days after treatment. yield, biological response, correlation vegetative indices in predicting yield achieved. Abstract. Many dicotyledonous weeds can be selectively controlled by dicamba application during growing...

The purpose of this study was to determine selected Arkansas school-based agricultural education (SBAE) teachers’ perceptions the importance, ability teach, inservice needs, and barriers relative incorporating precision agriculture (PA) into their programs. A non-probability sample (n = 44) teachers participating in an introductory PA workshop completed survey. Teachers rated each competencies as being above average or high importance but teach competency none below average. When were...

Deep learning-based weed detection data management involves acquisition, labeling, model development, and evaluation phases. Out of these phases, acquisition labeling are labor-intensive time-consuming steps for building robust models. In addition, low temporal variation crop in the datasets is one limiting factors effective development. This article describes cloud-based automatic system (CADAS) to capture images fixed time intervals take plant growth stages into account identification. The...

Highlights A novel combination of robotic and hyperspectral camera systems was customized to collect data in a greenhouse environment. Five popular weed species crop (soybean) were collected analyzed this research. Seven different types preprocessing methods tested obtain the best performance model. Abstract. Soybean production is greatly affected by weeds such as horseweed, kochia, ragweed, redroot pigweed, waterhemp midwestern region United States. Identification soybean plants crucial...

<abstract> <b><sc>Abstract.</sc></b> A UAV-assisted water quality measurement system (UAMS) was developed for in-situ measurements on surface waters. custom-built hexacopter equipped with an open-source electronic sensors platform to collect data. The components of the were coated a water-resistant film and assembled flotation attachments. Water made multi-probe meter (OSMM) commercial (CMM). parameters measured included temperature, electrical conductivity (EC), dissolved oxygen (DO), pH....

<abstract> <b><sc>Abstract.</sc></b> The objective of this research was to investigate the effects high-frequency vibrations on cutting force compacted soil with laboratory experiments. Three types (clay, sandy and silt) at two moisture contents (10 15% w.b.) were used for Standard Proctor compaction test procedure followed compact samples A 5-cm wide blade mounted a sliding platform cut without high frequency vibrations. Blade vibrating 19.753 kHz reduced maximum all both contents....

Efficiently managing agricultural systems necessitates accurate data collection from crops to examine phenotypic characteristics and improve productivity. Traditional processes for specialty horticultural are often subjective, labor-intensive, may not provide information precise management decisions in studies crop production. Reliable standardized techniques record evaluate features using technology essential improving systems. The objective of the research was develop a methodology...