NUST Institutions Library Catalogue Search for 'kw,wrdl: su-br:au:"Agriculture "'

Gene cloning and DNA analysis : an introduction /

By Brown, T. A.. Oxford ; | Hoboken, NJ : Wiley-Blackwell, 2010 . xvi, 320 p. : 26 cm.. 9781405181730 | 1405181737 | 9781444334074 (hbk.) | 1444334077 (hbk.)

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Cambrian Intelligence : The Early History of the New AI /

By Brooks, Rodney A.. Cambridge : MIT Press 1999 0262024683 (Trade Cloth)

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A practitioner's guide to resampling for data analysis, data mining, and modeling /

By Good, Phillip I.. Boca Raton, FL : CRC Press, 2012 . x, 214 p. : 25 cm.. 9781439855508

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Principles of soil chemistry /

By Tan, Kim H.. Boca Raton, Fla. : CRC Press, 2011 . xxvii, 362 p. : , First ed. published 1982. 27 cm.. 9781439813928 (hardcover : alk. paper) | 1439813922 (hardcover : alk. paper)

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Rainwater harvesting for drylands and beyond /

By Lancaster, Brad.. Tucson, AZ : Rainsource Press, 2013 . v. : , Revised edition of: Rainwater harvesting for drylands. | v. 1. Guiding principles to welcome rain into your life and landscape. 28 cm.. 9780977246434 (v. 1) | 0977246434 (v. 1)

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Sustainability in the hospitality industry : principles of sustainable operations.

By Sloan, Philip,. . 524 p. ; , Written by Philip Sloan, Willy Legrand, and Joseph S. Chen. 24 cm.. 9781138915374 (hbk) | 9781138915367 (pbk)

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Enhancing Security of Cloud Based IoT Systems Through Network Access Control (NAC) /

By Khan, Awais . . xi, 84 p

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Automatic Detection and Recognition of Citrus Fruits Diseases Using Deep Learning Model /

By Faisal, Shah . . 59p. , In a country's economy, agriculture plays a very vital role. Agriculture's yield and production are reduced by plant diseases, resulting in significant economic losses and instability in the food market. In plants, the citrus fruit crop is one of the most important agricultural products in the world, produced and grown in around 140 countries. It has a lot of nutrients, such as vitamin C. However, due to pests and diseases, citrus cultivation is widely affected and suffers significant losses in both yield and quality. The majority of plant diseases exhibit visible symptoms, and the accepted method used today is for a skilled plant pathologist to detect the diseases by examining affected plant leaves under a microscope, which is a costly and time-consuming method. During the last decade, computer vision and machine learning have been widely adopted to detect and classify plant diseases, providing opportunities for early disease detection and bringing improvements to agricultural production. The early detection and accurate diagnosis of plant diseases are essential for reducing their spread and damage to crops. In this work, we presented an automatic system for early detection and recognition of citrus plant diseases based on a deep learning (DL) model to improve accuracy and reduce computational complexity. The most recent transfer learning-based models were applied to our dataset in order to increase classification accuracy. In this work, we successfully proposed a CNN-based pre-trained model (EfficientNetB3, ResNet50, MobiNetV2, (InceptionV3) for the identification and classification of citrus plant diseases using transfer learning. In order to assess the performance of the model, we found that the transfer of an EfficientNetb3 model led to the highest training, validating, and testing accuracies, which were 99.43%, 99.48%, and 99.58%, respectively. The proposed CNN model exceeds other cutting-edge CNN network architectures developed in earlier literature in the identification and categorization of citrus plant diseases. 30cm.

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Algorithms in advanced artificial intelligence /

New Yprk CRC Press 2024 . xxiii,520 Pages.; 9781032867984

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Mechanisms of Arsenic Toxicity and Tolerance in Plants /

. 1 online resource (XV, 508 pages 46 illustrations, 33 illustrations in color.) 9789811312922

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Plant Bioinformatics : Decoding the Phyta /

. 1 online resource (XIV, 459 pages 50 illustrations, 49 illustrations in color.) 9783319671567

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