Utilizing geospatial information to implement SDGs and monitor their Progress
It is more than 4 years since the 2030 agenda for sustainable development was adopted by
the United Nations and its member states in September 2015. Several efforts are being …
the United Nations and its member states in September 2015. Several efforts are being …
Resources for image-based high-throughput phenotyping in crops and data sharing challenges
High-throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images
Detection of symptoms in grape leaves is a very important factor in preventing a serious
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
disease. An epidemic spread in vineyards has huge economic consequences and therefore …
Smart industrial iot monitoring and control system based on UAV and cloud computing applied to a concrete plant
Unmanned aerial vehicles (UAVs) are now considered one of the best remote sensing
techniques for gathering data over large areas. They are now being used in the industry …
techniques for gathering data over large areas. They are now being used in the industry …
High-throughput biomass estimation in rice crops using UAV multispectral imagery
This paper presents a high-throughput method for Above Ground Estimation of Biomass
(AGBE) in rice using multispectral near-infrared (NIR) imagery captured at different scales of …
(AGBE) in rice using multispectral near-infrared (NIR) imagery captured at different scales of …
The ÓMICAS alliance, an international research program on multi-omics for crop breeding optimization
The OMICAS alliance is part of the Colombian government's Scientific Ecosystem,
established between 2017-2018 to promote world-class research, technological …
established between 2017-2018 to promote world-class research, technological …
[HTML][HTML] Graph-based data fusion applied to: Change detection and biomass estimation in rice crops
DA Jimenez-Sierra, HD Benítez-Restrepo… - Remote Sensing, 2020 - mdpi.com
The complementary nature of different modalities and multiple bands used in remote
sensing data is helpful for tasks such as change detection and the prediction of agricultural …
sensing data is helpful for tasks such as change detection and the prediction of agricultural …
A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops
Traditional methods to measure spatio-temporal variations in biomass rely on a labor-
intensive destructive sampling of the crop. In this paper, we present a high-throughput …
intensive destructive sampling of the crop. In this paper, we present a high-throughput …
GIS-Based Progress Monitoring of SDGs towards Achieving Saudi Vision 2030
S Qwaider, B Al-Ramadan, M Shafiullah, A Islam… - Remote Sensing, 2023 - mdpi.com
The United Nations (UN) Sustainable Development Goals (SDGs) serve as a blueprint for
securing a sustainable, healthy, and just future for people and the environment. Through the …
securing a sustainable, healthy, and just future for people and the environment. Through the …
Feature analysis and classification of maize crop diseases employing AlexNet-inception network
K Balasubramanian - Multimedia Tools and Applications, 2024 - Springer
Classification of plant diseases is an important aspect of agriculture and this proposed
methodology aims at identification, prediction and classification of corn leaf disease using …
methodology aims at identification, prediction and classification of corn leaf disease using …