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Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop 70
ROCHA NETO,ODÍLIO C. DA; TEIXEIRA,ADUNIAS DOS S.; BRAGA,ARTHUR P. DE S.; SANTOS,CLEMILSON C. DOS; LEÃO,RAIMUNDO A. DE O..
Precision irrigation seeks to establish strategies which achieve an efficient ratio between the volume of water used (reduction in input) and the productivity obtained (increase in production). There are several studies in the literature on strategies for achieving this efficiency, such as those dealing with the method of volumetric water balance (VWB). However, it is also of great practical and economic interest to set up versatile implementations of irrigation strategies that: (i) maintain the performance obtained with other implementations, (ii) rely on few computational resources, (iii) adapt well to field conditions, and (iv) allow easy modification of the irrigation strategy. In this study, such characteristics are achieved when using an Artificial...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Precision irrigation; Automation; Neural algorithms.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200266
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Augmented reality systems for weed economic thresholds applications 87
Vidal,N.R.; Vidal,R.A..
The augmented reality (AR) technology has applications in many fields as diverse as aeronautics, tourism, medicine, and education. In this review are summarized the current status of AR and it is proposed a new application of it in weed science. The basic algorithmic elements for AR implementation are already available to develop applications in the area of weed economic thresholds. These include algorithms for image recognition to identify and quantify weeds by species and software for herbicide selection based on weed density. Likewise, all hardware necessary for AR implementation in weed science are available at an affordable price for the user. Thus, the authors propose weed science can take a leading role integrating AR systems into weed economic...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Augmented reality; Weed economic thresholds; Software; Neural algorithms; Image recognition.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582010000200025
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