Items related to Applications of Machine Learning and Remote Sensing...
Synopsis
This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science.
"synopsis" may belong to another edition of this title.
Search results for Applications of Machine Learning and Remote Sensing...
Stock Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring (Hardcover)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783725882694
Stock Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring
Seller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # I-9783725882694
Stock Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring (Hardcover)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783725882694
Buy New
US$ 108.53
US$ 49.99 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Stock Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring (Hardcover)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783725882694
Buy New
US$ 131.86
US$ 37.00 shipping
Ships from Australia to U.S.A.
Ships from Australia to U.S.A.
Quantity: 1 available
Seller Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring | Buch | Englisch | 2026 | MDPI AG | EAN 9783725882694 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136373221
Buy New
US$ 163.37
US$ 81.28 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available
Stock Image
Applications of Machine Learning and Remote Sensing in Crop and Vegetation Monitoring
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint presents a collection of cutting-edge research on the integration of machine learning and remote sensing technologies for precision agriculture. Vegetation plays a critical role in the Earth's system, influencing global change, climate, hydrological cycles, and biochemical processes. The combination of high-resolution remote sensing data with advanced machine learning algorithms offers new solutions for monitoring vegetation status. The articles within this Reprint explore a wide range of applications, including the estimation of crop biophysical parameters such as leaf area index and chlorophyll content, the prediction of yield, the detection of diseases and pests in fruits and vegetables, and the monitoring of agricultural droughts. The research covers diverse techniques, from using object detection models for fruit quality assessment to synergizing multispectral and radar data, and from applying discrete wavelet transforms to RGB images for chlorophyll estimation to reconstructing solar-induced chlorophyll fluorescence for drought monitoring. Collectively, this Reprint demonstrates how intelligent data analysis can enhance crop monitoring, support sustainable vegetation restoration strategies, and improve water resource management. It serves as a valuable resource for researchers, agronomists, and practitioners seeking to apply state-of-the-art computational methods to tackle current challenges in agriculture and vegetation science. Seller Inventory # 9783725882694
Buy New
US$ 214.35
US$ 35.41 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available