crop-classification · GitHub Topics · GitHub
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Fine-scale classification of horticultural crops using Sentinel-2 time ...
Sep 1, 2025 · Satellite imagery holds great potential for crop mapping. However, the high degree of similarity of remote sensing features and fragmented plots of horticultural crops challenges their fine …
Classification of Crops using Machine Learning - Medium
Feb 20, 2024 · The integration of Machine Learning (ML) in crop classification brings forth a myriad of advantages that contribute to the advancement and optimization of agricultural practices.
(PDF) Classification of Crops - ResearchGate
Nov 2, 2023 · Abstract Crop classification is a fundamental aspect of agriculture, aiding in the management of agricultural resources, prediction of yields, and sustainable farming practices.
EXPLORING MACHINE LEARNING CLASSIFICATION ALGORITHMS FOR CROP ...
Jul 26, 2019 · Crop Classification and recognition is a very important application of Remote Sensing. In the last few years, Machine learning classification techniques have been emerging for crop …
Crop Classification Methods Based on Siamese CBMM-CNN
Feb 15, 2025 · Crop Classification Methods Based on Siamese CBMM-CNN Architectures Using Hyperspectral Remote Sensing Data. In: Zhu, T., Li, J., Castiglione, A. (eds) Algorithms and …
A fine crop classification model based on multitemporal Sentinel-2 ...
Nov 1, 2024 · Obtaining information on crop planting areas and yields in a timely and accurate manner is highly important for optimizing crop planting structures, formulating agricultural policies, and ensuring …
Evaluation of a deep-learning model for multispectral remote sensing …
Oct 1, 2022 · High-resolution deep-learning-based remote-sensing imagery analysis has been widely used in land-use and crop-classification mapping. However, the influence of composite feature …
Crop Analysis and Classification Based on Phenotype Using Ensemble ...
Mar 13, 2025 · Different machine learning algorithms will be applied to support crop classification research. The classification results achieved by this system will largely help the farmers decide which …
Crop Classification and Yield Prediction Using Robust Machine …
Oct 25, 2024 · It optimizes irrigation, fertilization, and crop selection, aiding decision-making for food security and crop management. This study proposes two robust machine learning architectures for …