Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

I Harris, TJ Osborn, P Jones, D Lister - Scientific data, 2020 - nature.com
Abstract CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate
dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except …

Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data

P Hara, M Piekutowska, G Niedbała - Land, 2021 - mdpi.com
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …

Impact of climate extreme events and their causality on maize yield in South Africa

C Simanjuntak, T Gaiser, HE Ahrends, A Ceglar… - Scientific Reports, 2023 - nature.com
Extreme climate events can have a significant negative impact on maize productivity,
resulting in food scarcity and socioeconomic losses. Thus, quantifying their effect is needed …

Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems

K Brewer, A Clulow, M Sibanda, S Gokool, V Naiken… - Remote Sensing, 2022 - mdpi.com
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-
economic status and ensure livelihood security. Advances in South African precision …

Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned …

K Brewer, A Clulow, M Sibanda, S Gokool, J Odindi… - Drones, 2022 - mdpi.com
Climatic variability and extreme weather events impact agricultural production, especially in
sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the …

Heterogeneous impacts of climate change on crop yields across altitudes in Ethiopia

T Ginbo - Climatic Change, 2022 - Springer
Impacts of climate change can differ from one region to another. We combine the household-
level panel data with weather and climate data to examine the heterogeneity of the impacts …

Application of artificial neural network for predicting maize production in South Africa

OM Adisa, JO Botai, AM Adeola, A Hassen, CM Botai… - Sustainability, 2019 - mdpi.com
The use of crop modeling as a decision tool by farmers and other decision-makers in the
agricultural sector to improve production efficiency has been on the increase. In this study …

Trends of extreme air temperature and precipitation and their impact on corn and soybean yields in Nebraska, USA

CAC dos Santos, CMU Neale, MM Mekonnen… - Theoretical and Applied …, 2022 - Springer
Numerous studies have recently shown the effects of global warming on worldwide and
regional precipitation and temperature patterns. Despite knowing that the spatial and …

Impact of climate variability on grain yields of spring and summer maize

T Wang, N Li, Y Li, H Lin, N Yao, X Chen… - … and Electronics in …, 2022 - Elsevier
Crop yield is greatly impacted by climate change, and a systemic assessment of its impacts
on crop yields is essential. Aiming to investigate the impact of climate change on spring and …

Changes in Climate Extremes and Their Effect on Maize (Zea mays L.) Suitability Over Southern Africa

A Chemura, SS Nangombe, S Gleixner… - Frontiers in …, 2022 - frontiersin.org
Southern Africa has been identified as one of the hotspot areas of climate extremes
increasing, at the same time many communities in the region are dependent on rain-fed …