Industry 4.0 disruption and its neologisms in major industrial sectors: A state of the art

O Bongomin, A Yemane, B Kembabazi… - Journal of …, 2020 - Wiley Online Library
Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can
hardly distinguish between what is artificial and what is natural (eg, man‐made virus and …

Southeast Asia must narrow down the yield gap to continue to be a major rice bowl

S Yuan, AM Stuart, AG Laborte, JI Rattalino Edreira… - Nature Food, 2022 - nature.com
Southeast Asia is a major rice-producing region with a high level of internal consumption
and accounting for 40% of global rice exports. Limited land resources, climate change and …

[PDF][PDF] nasapower: a NASA POWER global meteorology, surface solar energy and climatology data client for R

AH Sparks - Journal of Open Source Software, 2018 - joss.theoj.org
Summary and Statement of Need nasapower is an R (R Core Team, 2018) package
providing functionality to interface with the NASA POWER API (Stackhouse et al., 2018) for …

[HTML][HTML] How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

P Grassini, LGJ van Bussel, J Van Wart, J Wolf… - Field Crops …, 2015 - Elsevier
Numerous studies have been published during the past two decades that use simulation
models to assess crop yield gaps (quantified as the difference between potential and actual …

[HTML][HTML] Can yield gap analysis be used to inform R&D prioritisation?

PAJ Van Oort, K Saito, I Dieng, P Grassini… - Global Food …, 2017 - Elsevier
The phrase “biggest bang for a buck” is associated with the policy making question that
governments and development agencies face:“Where and which crops should receive …

Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

G Azzari, M Jain, DB Lobell - Remote Sensing of Environment, 2017 - Elsevier
One of the greatest challenges in monitoring food security is to provide reliable crop yield
information that is temporally consistent and spatially scalable. An ideal yield dataset would …

[HTML][HTML] From field to atlas: upscaling of location-specific yield gap estimates

LGJ van Bussel, P Grassini, J Van Wart, J Wolf… - Field Crops …, 2015 - Elsevier
Accurate estimation of yield gaps is only possible for locations where high quality local data
are available, which are, however, lacking in many regions of the world. The challenge is …

Variability and determinants of yields in rice production systems of West Africa

A Niang, M Becker, F Ewert, I Dieng, T Gaiser… - Field Crops …, 2017 - Elsevier
Rice (Oryza spp.) is the major staple food for most countries in West Africa, but local
production does not meet demand. Rice is grown mainly by smallholder farmers, and yields …

Trends in extreme temperature and rainfall indices in the semi-arid areas of Western Tigray, Ethiopia

A Berhane, G Hadgu, W Worku, B Abrha - Environmental Systems …, 2020 - Springer
Background Africa is the most vulnerable continent in the world; which recurrent droughts,
extreme temperature and rainfall affects agriculture and food security. The aim of this study …

[HTML][HTML] Meteorological limits to winter wheat productivity in the US southern Great Plains

RP Lollato, JT Edwards, TE Ochsner - Field Crops Research, 2017 - Elsevier
Although the US southern Great Plains accounts for approximately 30% of total US wheat
(Triticum aestivum L.) production, yields in the region have rarely surpassed 3.0 Mg ha− 1 …