Identification and Prioritization of Issues in Growing and Marketing Vegetables in Punjab Province of Pakistan

Faiz, Muhammad Raheel; Ashraf, Ijaz; Nawaz, Haq; Zubair, Muhammad; Mahmood, Muhammad Sajid; Hussain, Sajid; Qadeer, Abdul

doi:10.17582/journal.jis/2020/6.1.54.59

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“…In the agriculture market, vegetables are of prime importance. The share of vegetable production in Punjab is 95.4% for potatoes, 19.9% for onions, 21.1% for chilies, and 15.9% for tomatoes [4]. Punjab is by far the largest province for the farming industry in Pakistan.…”

Section: Introductionmentioning

confidence: 99%

Image-based Onion Disease (Purple Blotch) Detection using Deep Convolutional Neural Network

Zaki¹,

Narejo²,

Ahsan³

et al. 2021

IJACSA

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Agriculture on earth is the biggest need for human sustenance. Over years, many farming methods and components have become computerized to guarantee quicker production with higher quality. Because of the enlarged demand in the farming industry, agricultural produce must be cultivated using an efficient process. Onion (Allium cepa L.) is an economically valuable crop and is the second-largest vegetable crop in the world. The spread of various diseases highly affected the production of the onion crop. One of the serious and most common diseases of onion worldwide is purple blotch. To compensate for a limited amount of training dataset of healthy and infected onion crops, the proposed method employs a pretrained enhanced InceptionV3 model. The proposed model detects onion disease (purple blotch) from images by recognizing the abnormalities caused by the disease. The suggested approach achieves a classification accuracy of 85.47% in recognizing the disease. This research investigates a novel approach for the rapid and accurate diagnosis of plant/crop diseases, laying the theoretical foundation for the use of deep learning in agricultural information.

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Section: Introductionmentioning

confidence: 99%