Xinting Yang

TL;DR: In this paper, two different leaf area index models are established and compared with the evolution of the real crop determined with an electronic planimeter: (1) Considering the temperature and photosynthetically active radiation (PAR) as the main impact factors over crop growth, a TEP-LAI model based on product of thermal effectiveness and PAR is built to estimate the leaf areas index dynamics; and (2) TOM-LAI model, based on a tomato growth model is also used to estimate an explicit function of the number of leaves and vines.

TL;DR: In this article, an early warning model for occurrence of cucumber downy mildew in non-heated greenhouses was developed based on disease records and microclimatic parameter analysis.

TL;DR: In this paper, the potential ability of fully polarimetric synthetic aperture radar (SAR) data in estimating above-ground biomass of oilseed rape was investigated, and the results indicated that when full polarization SAR data is available, a simpler model, higher saturation point and better accuracy can be achieved in biomass estimation, which highlights the importance and value of polarimetry information in quantitative crop monitoring.

TL;DR: Based on the concept of the meteorological disaster warning model, this article developed a meteorological risk management system built upon a browser/server framework and mobile internet to provide precision agriculture (PA) services with large-scale, long-term, scalable and real-time data collection capabilities for solar greenhouse vegetables.

TL;DR: Simulation experimental results show that the deterministic node deployment method can achieve target coverage with the least sensor nodes and sensor node connectivity to a great extent.