TY  - CHAP
AU  - Muhammad E.H. Chowdhury
AU  - Tawsifur Rahman
AU  - Amith Khandakar
AU  - Nabil Ibtehaz
AU  - Aftab Ullah Khan
AU  - Muhammad Salman Khan
AU  - Nasser Al-Emadi
AU  - Mamun Bin Ibne Reaz
AU  - Mohammad Tariqul Islam
AU  - Sawal Hamid Md. Ali
ED  - Fiaz Ahmad
ED  - Muhammad Sultan
Y1  - 2021-04-30
PY  - 2021
T1  - Tomato Leaf Diseases Detection Using Deep Learning Technique
N2  - Food security is one of the primary themes of the United Nations’ Sustainable Development Goals. In this regard, agricultural engineering is considered the backbone of agriculture, and agricultural mechanization is considered a helpful way to enhance crop yield and farmers’ profitability. Technology in Agriculture presents research in the field of agricultural engineering technologies and applications in agricultural equipment engineering, biosystem engineering, energy systems engineering, and computers in agriculture. It provides an overview of recent advancements in agricultural engineering and examines key aspects of emerging technologies and their applications. In addition, the book explores modern methodologies such as artificial intelligence and machine learning for agricultural mechanization.
BT  - Technology in Agriculture
SP  - Ch. 23
UR  - https://doi.org/10.5772/intechopen.97319
DO  - 10.5772/intechopen.97319
SN  - 978-1-83881-922-4
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-27
ER  -