Applications machine learning remote (4 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 95,22
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Condición: New.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 96,36
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 proce…sses. 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.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 94,02
Envío por EUR 43,31Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 proce…sses. 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.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 134,51
Envío por EUR 31,97Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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 proce…sses. 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.
