Monitoring and control systems in agriculture using intelligent sensor techniques: A review of the aeroponic system

IA Lakhiar, G Jianmin, TN Syed, FA Chandio… - Journal of …, 2018 - Wiley Online Library
In recent years, intelligent sensor techniques have achieved significant attention in
agriculture. It is applied in agriculture to plan the several activities and missions properly by …

Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives

A Lausch, L Bannehr, M Beckmann, C Boehm… - Ecological …, 2016 - Elsevier
Impacts of human civilization on ecosystems threaten global biodiversity. In a changing
environment, traditional in situ approaches to biodiversity monitoring have made significant …

Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats

H Nagendra, R Lucas, JP Honrado, RHG Jongman… - Ecological …, 2013 - Elsevier
Monitoring protected areas and their surrounds at local to regional scales is essential given
their vulnerability to anthropogenic pressures, including those associated with climatic …

Will remote sensing shape the next generation of species distribution models?

KS He, BA Bradley, AF Cord, D Rocchini… - Remote Sensing in …, 2015 - Wiley Online Library
Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …

[HTML][HTML] Evaluation of Sentinel-2 time-series for mapping floodplain grassland plant communities

S Rapinel, C Mony, L Lecoq, B Clément… - Remote sensing of …, 2019 - Elsevier
Monitoring grassland plant communities is crucial for understanding and managing
biodiversity. Previous studies indicate that mapping these natural habitats from single-date …

Satellite remote sensing to monitor species diversity: Potential and pitfalls

D Rocchini, DS Boyd, JB Féret… - Remote Sensing in …, 2016 - Wiley Online Library
Assessing the level of diversity in plant communities from field‐based data is difficult for a
number of practical reasons:(1) establishing the number of sampling units to be investigated …

Spatial analysis of remote sensing image classification accuracy

A Comber, P Fisher, C Brunsdon, A Khmag - Remote Sensing of …, 2012 - Elsevier
The error matrix is the most common way of expressing the accuracy of remote sensing
image classifications, such as land cover. However, it and the measures that can be …

Analysis of fuzzy applications in the agri-supply chain: A literature review

A De, SP Singh - Journal of Cleaner Production, 2021 - Elsevier
With the increasing global demand for fresh food, the importance of the mass agri-producing
countries has also increased. Agri-production has undergone a significant transformation …

Spatial evapotranspiration, rainfall and land use data in water accounting–Part 1: Review of the accuracy of the remote sensing data

P Karimi, WGM Bastiaanssen - Hydrology and Earth System …, 2015 - hess.copernicus.org
The scarcity of water encourages scientists to develop new analytical tools to enhance water
resource management. Water accounting and distributed hydrological models are examples …

Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform

A Wendel, J Underwood, K Walsh - Computers and Electronics in …, 2018 - Elsevier
Monitoring the maturity of fruit in commercial orchards can help growers optimise the time of
harvest. Dry matter content (DM) of fruit is used as an indicator of mango maturity, measured …