[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Detecting fungi-affected multi-crop disease on heterogeneous region dataset using modified ResNeXt approach

N Upadhyay, N Gupta - Environmental Monitoring and Assessment, 2024 - Springer
Crop diseases pose significant threats to agriculture, impacting crop production. Biotic
factors contribute to various diseases, including fungal, bacterial, and viral infections. Recent …

Diagnosis of fungi affected apple crop disease using improved ResNeXt deep learning model

N Upadhyay, N Gupta - Multimedia Tools and Applications, 2024 - Springer
Crop diseases are highly severe in agriculture which affect crop production. Apple is one of
the most important fruit worldwide for economic and nutritional reasons. Even though much …

[PDF][PDF] Advanced Agrochem

M Javaid, A Haleem, IH Khan, R Suman - 2022 - academia.edu
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

A study on the applicability of AI in Pharmaceutical Industry

AK Sharma - 2022 1st International Conference on …, 2022 - ieeexplore.ieee.org
Artificial intelligence is a branch of computer science which enables to take decision. Usage
of AI (Artificial Intelligence) has increased over the years in Pharmaceutical sector. Many …

A Survey-Wheat Plant Diseases Recognition System using Deep Learning Techniques

T Goyal, AR Patil, P Nahar… - … Conference on Innovative …, 2023 - ieeexplore.ieee.org
Even in cases of high population growth, agriculture nevertheless provides food for all
people. To ensure the supply of food for the entire population, it is advised to anticipate …

Potato leaves disease detection with data augmentation using deep learning approach

N Upadhyay, N Gupta - … on Information and Communication Technology for …, 2022 - Springer
Plants illnesses are the main issue that reduce agricultural yield as well as manufacturing,
causing massive economic losses and instability in the meals supply. With amelioration in …

The Survey on IoT based kit for smart farming

S Kundu, H Jindal, Y Rai, A Tripathi… - 2024 Sixth …, 2024 - ieeexplore.ieee.org
This survey paper presents a comprehensive analysis of 30 studies related to crop detection
using machine learning and remote sensing technologies. The studies were conducted on …

Automatic Plant Disease Classification with Unknown Class Rejection using Siamese Networks

RK Putra, GAF Alfarisy, FW Nugraha… - Buletin Ilmiah Sarjana …, 2024 - journal2.uad.ac.id
Potatoes are one of the horticultural commodities with significant trade value both
domestically and internationally. To produce high-quality potatoes, healthy and disease-free …

Automatic Piped and Micro Irrigation Network

E Shalin - 2024 2nd International Conference on Networking …, 2024 - ieeexplore.ieee.org
This research paper presents cutting-edge technologies and methodologies to enhance
precision agriculture and support sustainable farming practices. The study incorporates …