Leveraged by the production of grains, oilseeds, and fresh deciduous fruits, food has reached new heights, exceeding amount produced in previous years with an estimate records for coming years. In this sense, technological advances are essential to reduce costs increase quality productivity. paper, we present a novel method detect insect predation on plant leaves that uses geometric leaf properties digital image processing techniques construct models. Unlike other approaches, our detects...

Estimating foliar damage is essential in agricultural processes to provide proper crop management, such as monitoring the defoliation level take preventive actions. Furthermore, it helpful avoid reduction of plant energy production, nutrition decrement, and consequently, final production economic losses. In this sense, numerous proposals support estimate task, ranging from traditional methodologies computational solutions. However, subjectivity characteristics, reproducibility limitations,...

Sugarcane is one of the main crops in world due to its economic value promoted by sale derivatives, such as bioethanol and sugar. In order achieve greater performance productivity sugarcane field, several digital image processing studies have been conducted on field images. However, mapping measuring gaps planting rows are still being performed manually on-site determine whether replant entire area or only gaps. High cost time manpower required perform manual measurement. Based that, aim...

The challenge in building disparity maps is to determine the best method calculate consistency among points and use it approximate differences between views. Fortunately, number of methods construct have increased last years. On other hand, a lot work needs be done evaluate these by using different arguments. Besides, not clear enough how build stereo vision algorithms with concepts as reuse scalability. Thus, we propose software design architecture applied systems. Furthermore, implemented...

Sugarcane is one of the main crops in world due to economic value it promotes by selling its derivatives. A diversity technologies has been developed optimize agricultural activities and maximize productivity sugarcane crops. In this sense, our primary goal contribute research area detecting planting lines measuring their faults, including evaluation curved that substantially limit numerous solutions practical applications. An automatic method identifies measures through digital image...

By adequately locating objects of interest, a computer vision-driven machine can avoid obstacles and collisions, set safe paths to move autonomously, reconstruct the geometric properties scene. In this sense, three-dimensional information is required perform these tasks properly. As digital images provide about scene, they are often used estimate objects' spatial position depths concerning image acquisition machinery. Thus, disparity maps be obtained, differences between similar features...

As an essential component of the architecture a plant, leaves are crucial to sustaining decision-making in cultivars and effectively support agricultural processes. When leaf area is constantly monitored, plant's health productive capacity can be assessed foment proactive reactive strategies. Because that, one most critical tasks processes estimating foliar damage. In this sense, we present automatic method estimate stress caused by insect herbivory, including damage border regions. novelty,...

The use of unmanned aerial vehicles (UAV) is expanding rapidly throughout the world. Nowadays, it common to find some useful applications that them in both urban and rural environments. Especially second case, UAV promoting significant changes traditional agricultural activities. Thus, current technologies have been incorporated into inspection, surveillance, management. In this study, we investigated practical uses images areas. A new method for allowing a understand interpret visual...

Management of agricultural production and rural activities has been supported by recognizing machine learning patterns algorithms, as in the automation leaf analysis. However, border damage compromises structures, making it difficult to estimate lost contours. Effects caused predatory insects are be monitored inspection processes, harmful results them can deteriorate performance models. In this sense, plant leaves that not fresh or intact avoided. Consequently, number samples for use...

The computational games has been on the highlights of several studies as a great way to make easier teaching-learning process middle school.The objective this project was elaborate game that would serve teach Cell Biology and evaluate use its didactic material.The created in Linux Operational System's program, called Impress, named "Jogo BioCell", which presented three stages: cell division, cytoplasmic organelles protein synthesis.This tested evaluated by group students 2º period...

The growing demand for accurate results in agricultural environments consolidates the so-called precision agriculture which saliency analysis has brought possibilities effective application of computer vision techniques. measured by algorithms follows a logic attention similar to human visual system protuberant regions are identified due some features that make them more evident and prone draw attention. Thus, salient preserved such way most evocative scene components highlighted emphasize...

Salience methods can contribute to the development of precision agriculture as they are based on non-invasive image analysis. Relevant data be detected support agricultural applications in performing low-level tasks, such highlighting areas interest for processing computer vision, inference, and decision making. In this study, we report a systematic review literature that presents discusses computational saliency applied context fields. We describe thirteen salience techniques primary...