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Abstract—The automatic identification and diagnosis of tomato
leaves diseases are highly desired in field of agriculture information. Recently Deep Convolutional Neural networks (CNN) has
made tremendous advances in many fields, close to computer
vision such as classification, object detection, segmentation,
achieving better accuracy than human-level perception. In spite
of its tremendous advances in computer vision tasks, CNN face
many challenges, such as computational burden and energy,
to be used in mobile phone and embedded systems. In this
study, we propose an efficient smart mobile application model
based on deep CNN to recognize tomato leaf diseases. To build
such application, our model has been inspired from MobileNet
CNN model and can recognize the 10 most common types of
Tomato leaf disease. Trained on tomato leafs dataset, to build
our application 7176 images of tomato leaves are used in the
smart mobile system, to perform a Tomato disease diagnostics.
Index Terms—Convolutional Neural networks, Tomato disease
detection, Smart Mobile application, MobileNet.
Abstract—The automatic identification and diagnosis of tomato
leaves diseases are highly desired in field of agriculture information. Recently Deep Convolutional Neural networks (CNN) has
made tremendous advances in many fields, close to computer
vision such as classification, object detection, segmentation,
achieving better accuracy than human-level perception. In spite
of its tremendous advances in computer vision tasks, CNN face
many challenges, such as computational burden and energy,
to be used in mobile phone and embedded systems. In this
study, we propose an efficient smart mobile application model
based on deep CNN to recognize tomato leaf diseases. To build
such application, our model has been inspired from MobileNet
CNN model and can recognize the 10 most common types of
Tomato leaf disease. Trained on tomato leafs dataset, to build
our application 7176 images of tomato leaves are used in the
smart mobile system, to perform a Tomato disease diagnostics.
Index Terms—Convolutional Neural networks, Tomato disease
detection, Smart Mobile application, MobileNet.
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يشارك المتحدث تجربة مع رجل صيني يدعى هان شاو، الذي ساعده في الترجمة خلال محادثة حوالي عام 2000، قبل ...
بدا الأمير رحلته بين الكواكب القريبة للبحث عن المعرفة ، فبدا بالكوكب الأول الذي يسكنه ملك عظيم ، يعد...
عندما ينشر الناس عبر وسائل التواصل الاجتماعي، فإنهم عادة ما يتطلعون إلى إشارة بعض التفاعلات، سواء أك...
Capitalists: or The Bourgeoisie, are the business owners who organize the process of production and ...
شرّعتُ باب غرفتها بقوة حتى ارتطم بالجدار، أشعلت الإنارة قهرًا، فانتفظت من سريرها منكوشة الرأس مرعوبة...
أمَّا الكيُّ ، فلأنَّ كلَّ واحدٍ من الأمراض المادِّيَّة إمَّا أن يكون حادًّا فيكون سريع الانقضاء(2) ...
يمكنك من إدارة مشروعك بشكل دقيق وإظهار كافة التفاصيل . تستطيع من خلاله رؤية مدى تطور كل مهمة داخل كل...
لتبليغ :- إذا كان الأمر يتعلق بقرارات فردية فإن ميعاد الطعن فيها يبدأ من تاريخ تبليغها إلى من يهمه ا...
- تختلف مناهج البحث باختلاف العلوم، إذ هناك مناهج تصلح للعلوم الطبيعية، وأخرى تصلح للعلوم الانسانية....
لخص مايلي: التوجيه الفني العام للاجتماعيات الإدارة العامة لمنطقة العاصمة التعليمية إعداد ومراجعة الم...
Later he turns to be a radical Muslim. Finally, the Chalfens family is the neighborhood of the Iqbal...
المبحث الاول : مدخل الى نظم المعلومات المطلب الاول : ماهية المعلومات المالية تعريف البيانات و المع...