Early plant disease detection and providing the control measures have become highly desirable to improve crop yield. Leaf wetness duration (LWD) is one of essential parameters related development fungal on leaf canopy. To measured LWD, sensor (LWS) widely used. Commercially available LWS are made printed circuit board (PCB) technology, which has an operational issue during field deployment such...

Late wilt disease (LWD) caused by the fungus Magnaporthiopsis maydis poses a major threat to maize production. Developing high-yielding and resistant hybrids is vital cope with this destructive disease. The present study aimed at assessing general (GCA) specific (SCA) combining abilities for agronomic traits resistance LWD, identifying high determining parental genetic distance (GD) using SSR m...

The aim of this paper is to model the processes of the aggregation of weighted information in a linguistic framework. Three aggregation operators of weighted linguistic information are presented: linguistic weighted disjunction (LWD) operator, linguistic weighted conjunction (LWC) operator, and linguistic weighted averaging (LWA) operator. A study of their axiomatics is presented to demonstrate...

Abstract Production logging tools (PLTs) and formation testing, even in while drilling (LWD) conditions during underbalanced drilling, are key technologies for assessing the productivity potential of a gas well therefore to maximize recovery. Gas bubble detection sensors components determining fluid phases reservoir accurately quantify recoverable reserves, optimize placement, geosteering quali...

O ensaio de California Bearing Ratio (CBR) “ in situ ” determina a capacidade suporte das camadas dos pavimentos, entretanto este necessita equipamentos pesados que dificultam locomoção e instalação, tornando-o oneroso. Light Weight Deflectometer (LWD) é um equipamento possibilita realização não destrutivo realizado fornece o módulo deformabilidade dinâmico do solo. A sua utilização na avaliaçã...

Residual feed intake (RFI) is defined as the difference between the observed ADFI and the ADFI predicted from production and maintenance requirements. The objectives of this study were to evaluate RFI as a selection criterion to improve feed efficiency and its potential to reduce N and P excretion in 4 pig breeds. Data were collected between 2000 and 2009 in French central test stations for 2 d...

Deep learning (DL) inversion of induction logging measurements is used in well geosteering for real-time imaging the distribution subsurface electrical conductivity. We develop a DL workflow to solve 2.5-D inverse problems arising geosteering. The employs three modules: “look-around” fault detection module and two modules reconstructing anisotropic resistivity models presence or absence planes,...