This study proposes a new deep-learning model that correctly classifies plant leaf diseases for the agriculture and food sectors. It focuses on the detection of plant diseases for potato leaves from images by designing a new convolutional neural network (CNN) architecture. The CNN methodology ...
Potato leaf disease detection through ensemble average deep learning model and classifying the disease severity doi:10.11591/ijeecs.v35.i1.pp494-502Indonesian Journal of Electrical Engineering & Computer ScienceChowdhury, NishuSultana, JeenatRahman, TanimChowdhury, Tanjia...
Potato virus Y (PVY) is considered one of the ten most significant plant viruses owing to its economic impact in the potato cultivating areas of the world. It wasn't until the 1930s that PVY was first reported. It is considered a type species of the genusPotyvirus, belonging to the fami...
Specific gravity (SG) was evaluated by calculating the difference between air weight and underwater weight for tubers, using the formula SG = (weight in air)/(weight in air—weight in water). The standard procedure involves washing the whole production of tubers of every plant at room temper...
[27], the assessment of disease severity in affected plants was conducted using a six-point scale that took into account the observable disease symptoms and the extent of leaf damage. The scale was as follows: 0 denoting the absence of any symptoms, 1 indicating a range of 1–20%, 2 ...
Gupta U, Vijh S, Kumar S et al (2023c) Potato Leaf Disease Detection Using Machine Learning Techniques for Precision Agriculture. In: Proc. IEEE Int. Conf. Image Inf. Process., ICIIP. Institute of Electrical and Electronics Engineers Inc., pp 913–918 ...
The potato leaf classification accuracy of the proposed model is 97.12%. The proposed CNN model also provides an accuracy of 98.62% while identifying late blight disease. The ten-fold cross-validation technique is used to observe the performance of the proposed late blight classifier and then ...
disease detectiondeep learningpotato leaf diseasesPotato disease management plays a valuable role in the agriculture field as it might cause a significant loss in crops production. Therefore, timely recognition and classification of potato leaves diseases are necessary to minimize the loss, however, it ...
Study of Different Disease in Potato and their Detection Technique Using Leaf ImageA. GodiyaA. KothariIJIRT(www.ijirt.org)
Boonham N,Walsh K,Smith P, et al.Detection of potato viruses using microarray technology: towards a generic method for plant viral disease diagnosis.J Virol Methods. 2003Boonham N, Walsh K, Smith P, Madagan K, Graham I, Barker I. Detection of potato viruses using microarray technology: ...