000 02933nam a2200373 a 4500
003 CHAP
005 20240122175347.0
007 ta
008 240122s2021 fluado|fr|||| 001 0 eng d
020 _a978-1-77463-886-6
040 _amxchpua
_cCHAP
_erda
050 1 0 _aSB360.6
_b.S46 2021
082 0 0 _a664.8
_bS46 2021
_220
245 1 0 _aSensor-based quality assessment systems for fruits and vegetables /
_ceditores Bambang Kuswandi y Mohammed Wasim Siddiqui
250 _a1a edición
264 _aFlorida, U.S.A :
_bApple Academic Press,
_c2021
300 _axx, 303 páginas :
_bilustraciones, gráficas, diagramas, tablas, fotos
336 _2rdacontent
_atexto
_btxt
337 _2rdamedia
_asin medio
_bn
338 _2rdacarrier
_avolumen
_bnc
490 1 _aPostharvest Biology and Technology (AAP)
504 _aIncluye las bibliografías
505 0 _g1. Real-Time Quality Assessment of Fruits and Vegetables: Sensing Approaches 2. Sensors for Ripeness Measurement of Fruits and Vegetables 3. Sensors for Sorting and Grading of Fruits and Vegetables 4. Fluorescence Tools for Sensing of Quality-Related Phytochemicals in Fruits and Vegetables 5. Electrochemical Sensors for Quality Determination of Fruits and Vegetables 6. Electronic Nose (E-Nose) Application in the Food Industry 7. IR Spectroscopy for Quality of Fruits and Vegetables 8. Nuclear Magnetic Resonance (NMR) Spectroscopy for Quality Determination of Fruits and Vegetable 9. X-Ray Imaging for Quality Detection in Fruits and Vegetables 10. Radio Frequency Identification (RFID) 11. Application of Computer Vision System in Fruit Quality Monitoring
520 2 _aHere is an abundance of valuable information on different sensing techniques for fruits and vegetables. The volume covers emerging technologies, such as NMR, MRI, wireless sensor networks (WSN), and radio-frequency identification (RFID) and their potential for industrial applications. Key features of the volume: • Provides an inclusive review of the developments of sensors for quality analysis and inspection of fresh fruits and vegetables • Fosters an understanding of the basic sensing techniques for quality assessment of fresh fruits and vegetables • Covers advanced sensing technologies, including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, wireless sensor networks, and radio-frequency identification sensors • Reviews the significant progress in sensor development of noninvasive techniques for quality assessment of fruits and vegetables
650 1 3 _9150524
_aFrutos
_xCalidad
650 1 3 _9151360
_aVegetales
_xCalidad
650 1 3 _9150789
_aFruits
_xQuality
650 1 3 _9151808
_aVegetables
_xQuality
700 1 _9188552
_aKuswandi, Bambang
_eeditor
700 1 _9188553
_aSiddiqui, Mohammed Wasim
_eeditor
830 0 _9188551
_aPostharvest Biology and Technology (AAP)
942 _2ddc
942 _cLIBRO
999 _c219574
_d219574