Application of GIS in agriculture in promoting evidence-informed decision making for improving agriculture sustainability: a systematic review
The objective of this review was to synthesize existing evidence on GIS and RS application
in agriculture in enhancing evidence-informed policy and practice for improving agriculture …
in agriculture in enhancing evidence-informed policy and practice for improving agriculture …
Gendered impact of COVID-19 on consumption of perishable and nonperishable food commodities in Pakistan
Purpose Covid-19 is a serious threat to the dietary quality of vulnerable communities in
developing countries with limited economic resources. This study explored the implications …
developing countries with limited economic resources. This study explored the implications …
Adoption of climate smart agricultural practices through women involvement in decision making process: exploring the role of empowerment and innovativeness
The sustainability of global food production has been facing many threats, including climate
change. The adaptation to such threats is both a challenge as well as an opportunity …
change. The adaptation to such threats is both a challenge as well as an opportunity …
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop
Cyberinformatics tools have supported decision makings in agriculture through cutting-edge
big data, artificial intelligence/machine learning (AI/ML), and high-performance computing …
big data, artificial intelligence/machine learning (AI/ML), and high-performance computing …
A bibliometric analysis of the application of remote sensing in crop spatial patterns: Current status, progress and future directions
P Xiao, P Qian, J Xu, M Lu - Sustainability, 2022 - mdpi.com
The crop spatial pattern (CSP) is the spatial expression of the planting structure, maturity
and planting pattern of crops in a region or production unit. It reflects the situation of human …
and planting pattern of crops in a region or production unit. It reflects the situation of human …
[HTML][HTML] Spatiotemporal Evolution of Winter Wheat Planting Area and Meteorology-Driven Effects on Yield under Climate Change in Henan Province of China
D Wang, M Guo, S Liu, Y Li, Q Dong, X Gong, J Ge… - Plants, 2024 - mdpi.com
This study examines the impact of climate change on winter wheat production in Henan
Province. The analysis, under the utilization of GLASS LAI data, focuses on shifts in the …
Province. The analysis, under the utilization of GLASS LAI data, focuses on shifts in the …
National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series
Accurate and continuous maps of maize distribution are essential for food security and
sustainable agricultural development. However, there are no continuous national-scale and …
sustainable agricultural development. However, there are no continuous national-scale and …
Quantifying the spatial water salinity threshold of saline water irrigation by applying distributed WAVES model
CONTEXT Saline water irrigation presents a viable solution to alleviate freshwater scarcity.
However, it's crucial to consider the threshold of salinity, as excessive levels can adversely …
However, it's crucial to consider the threshold of salinity, as excessive levels can adversely …
Spatial analysis of factors influencing bacterial leaf blight in rice production
TM Ahmad, MS Haider, TO Randhir… - Brazilian Journal of …, 2023 - SciELO Brasil
Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial leaf blight that is a major threat to
rice production. Crop losses in extreme situations can reach up to75%, and millions of …
rice production. Crop losses in extreme situations can reach up to75%, and millions of …
A novel mathematical method to estimate rice phenological parameters across spatial scales for the ORYZA model
Q Yu, L Ma, Y Cui, L Liu, B Liu - European Journal of Agronomy, 2024 - Elsevier
While crop models are increasingly applied to large-scale areas, inadequate observation
data make it difficult to calibrate the model's phenological parameters at the regional scale …
data make it difficult to calibrate the model's phenological parameters at the regional scale …