TY - GEN
T1 - Plant Leaf Disease Detection Using ResNet
AU - Kumar, Amit
AU - Priyanshu, Manish Kumar
AU - Singh, Rani
AU - Sen, Snigdha
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The agriculture sector can be considered as the backbone for any developing economy. To obtain the maximum yield from the crops, it is required that farmers should be provided with the best technologies and methodologies. Artificial intelligence is having its vast applications in various sectors. Due to its ability to perceive the problems, developing the appropriate reasons for that and to establish optimal solutions for it, artificial intelligence can act as a great aid in addressing the diseases of crops. Throughout this paper, we used the ResNet9 architecture, which is a neural network concept CNN (Conv) in collaboration with this approach, which seems to be effective in classification tasks. This paper is also able to tell the difference between of healthy and the sick. As a result, recognizing leaf plants as damaged or healthy can help all end users, as they will be able to identify the best solution for afflicted plants, leading to higher major crops and economic benefits.
AB - The agriculture sector can be considered as the backbone for any developing economy. To obtain the maximum yield from the crops, it is required that farmers should be provided with the best technologies and methodologies. Artificial intelligence is having its vast applications in various sectors. Due to its ability to perceive the problems, developing the appropriate reasons for that and to establish optimal solutions for it, artificial intelligence can act as a great aid in addressing the diseases of crops. Throughout this paper, we used the ResNet9 architecture, which is a neural network concept CNN (Conv) in collaboration with this approach, which seems to be effective in classification tasks. This paper is also able to tell the difference between of healthy and the sick. As a result, recognizing leaf plants as damaged or healthy can help all end users, as they will be able to identify the best solution for afflicted plants, leading to higher major crops and economic benefits.
UR - https://www.scopus.com/pages/publications/85161440328
UR - https://www.scopus.com/pages/publications/85161440328#tab=citedBy
U2 - 10.1007/978-981-19-9858-4_74
DO - 10.1007/978-981-19-9858-4_74
M3 - Conference contribution
AN - SCOPUS:85161440328
SN - 9789811998577
T3 - Lecture Notes in Networks and Systems
SP - 867
EP - 877
BT - Soft Computing
A2 - Kumar, Rajesh
A2 - Verma, Ajit Kumar
A2 - Sharma, Tarun K.
A2 - Verma, Om Prakash
A2 - Sharma, Sanjay
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Conference on Soft Computing: Theories and Applications, SoCTA 2023
Y2 - 21 December 2023 through 23 December 2023
ER -