000			01695nam a22001817a 4500
003			NUST
005			20240920145905.0
082			_a005.1,BUT
100			_aButt, Shehroz _9125937
245			_aThe Cotton Guard AI Cotton Disease Detection Using Deep Learning Methods / _cCapt Shehroz Butt, Maj Muhammad Sohaib, Capt Mehroz Qasim, Capt Moeez Ahmed Farooq.
260			_aMCS, NUST _bRawalpindi _c2024
300			_a48 p
505			_aAn early detection of crop diseases is important as it helps in minimizing the losses which would otherwise be incurred and ensuring food security for the agricultural sectors worldwide including Pakistan Army's agriculture-based initiatives. This specific project aims to diagnose cotton diseases through a deep learning approach— more precisely Convolutional Neural Networks (CNNs). The system proposed based on CNN endeavors to detect different types of diseases by studying pictures of cotton plants that are taken in the field— this can lead to an immediate implementation of control measures. Despite its simplicity, this project plays a major role in improving sustainability and productivity among the large scale of cotton farming undertaken by the Pakistan Army as it covers thousands acres with agricultural lands. This study highlights the fusion of cutting-edge deep learning algorithms with pragmatic agricultural goals— an epitome of where technology meets agriculture. This could resonate with various other agricultural development projects in the locality, hence having a broader reach for the impact.
650			_aUG BESE _9114271
651			_aBESE-26 _9125902
700			_aSupervisor Dr. Muhammd Sohail _9125938
942			_2ddc _cPR
999			_c611615 _d611615