Mechanistic microclimate models and plant pest risk modelling

JR Mosedale, D Eyre, A Korycinska, M Everatt… - Journal of Pest …, 2024 - Springer
Climatic conditions are key determining factors of whether plant pests flourish. Models of
pest response to temperature are integral to pest risk assessment and management, helping …

Terahertz spectroscopic monitoring and analysis of citrus leaf water status under low temperature stress

Z Zang, Z Li, J Wang, X Lu, Q Lyu, M Tang… - Plant Physiology and …, 2023 - Elsevier
Low temperature stress, in the form of chilling and freezing, is one of the major
environmental factors impacting on citrus yield, which changes plant's water state and …

Harnessing deep learning to forecast local microclimate using global climate data

M Zanchi, S Zapperi, CAM La Porta - Scientific Reports, 2023 - nature.com
Microclimate is a complex non-linear phenomenon influenced by both global and local
processes. Its understanding holds a pivotal role in the management of natural resources …

[HTML][HTML] Optimized placement of sensor networks by machine learning for microclimate evaluation

M Zanchi, S Zapperi, CAM La Porta - Computers and Electronics in …, 2024 - Elsevier
Microclimate mapping and monitoring are of fundamental importance to manage natural
resources and optimize agricultural procedures. Precision agriculture is based on the …

Dynamic Scheduler for WSN Applications in Precision Agriculture

K Goel, AK Bindal - Mathematical Statistician and Engineering …, 2022 - philstat.org
Sensors may be configured to collect the various parameters those do not change over a
long interval (ie water level, soil attributes/fertilizer quantity of agriculture land/growth of …