Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
Large-scale crop yield estimation is, in part, made possible due to the availability of remote
sensing data allowing for the continuous monitoring of crops throughout their growth cycle …
sensing data allowing for the continuous monitoring of crops throughout their growth cycle …
Satellite-based data fusion crop type classification and map** in Rio Grande do Sul, Brazil
Field-scale crop monitoring is essential for agricultural management and policy making for
food security and sustainability. Automating crop classification process while elaborating a …
food security and sustainability. Automating crop classification process while elaborating a …
Toward precision in crop yield estimation using remote sensing and optimization techniques
MM Awad - Agriculture, 2019 - mdpi.com
Many crop yield estimation techniques are being used, however the most effective one is
based on using geospatial data and technologies such as remote sensing. However, the …
based on using geospatial data and technologies such as remote sensing. However, the …
Tree-fruits crop type map** from Sentinel-1 and Sentinel-2 data integration in Egypt's New Delta project
Horticulture maps are absent in Egypt, despite the vital importance of horticulture crops as a
main part of the agriculture economy. The available land use/cover datasets have only one …
main part of the agriculture economy. The available land use/cover datasets have only one …
A novel method for estimating chlorophyll and carotenoid concentrations in leaves: A two hyperspectral sensor approach
Leaf optical properties can be used to identify environmental conditions, the effect of light
intensities, plant hormone levels, pigment concentrations, and cellular structures. However …
intensities, plant hormone levels, pigment concentrations, and cellular structures. However …
[HTML][HTML] Automated soybean map** based on canopy water content and chlorophyll content using Sentinel-2 images
Accurate and timely spatiotemporal distribution information of soybean is vital for
sustainable agriculture development. However, it is challenging to establish a phenology …
sustainable agriculture development. However, it is challenging to establish a phenology …
A multispectral remote sensing crop segmentation method based on Segment Anything Model using Multi-stage Adaptation Fine-tuning
B Song, H Yang, Y Wu, P Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multispectral information is crucial for remote sensing crop monitoring, but current methods
struggle with inadequate feature extraction, leading to poor generalization and incomplete …
struggle with inadequate feature extraction, leading to poor generalization and incomplete …
Non− invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy
Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
Map** soybean planting area in midwest Brazil with remotely sensed images and phenology-based algorithm using the Google Earth Engine platform
CA da Silva Junior, AHS Leonel-Junior… - … and electronics in …, 2020 - Elsevier
Soybean is the main crop of the Brazilian agribusiness. The near-real-time monitoring of this
crop is important in the production estimate, identification of the progress, and location of the …
crop is important in the production estimate, identification of the progress, and location of the …
Soy Moratorium in Mato Grosso: deforestation undermines the agreement
Brazil is one of the world leaders in replacing forests with agriculture. Agribusiness has
responded to international public opinion by introducing the Soy Moratorium,(SoyM), an …
responded to international public opinion by introducing the Soy Moratorium,(SoyM), an …