Applications of geospatial and big data technologies in smart farming

GP Obi Reddy, BS Dwivedi… - Smart agriculture for …, 2023 - Springer
In recent years, smart farming is gaining popularity largely because of the introduction of
high-precision technology tools, which are more accurate, cost-effective and user-friendly in …

Achieving agriculture 4.0 through modernization and enhancement with mechanization, automation and advanced technologies

ST Ten, KAB Shafie, RB Abdul Rani - Smart Agriculture for Developing …, 2023 - Springer
Food production must be greatly increased to support the world population, which is
expected to reach 9.7 billion by 2050. As a result, agriculture must be modernized and …

A Real-Time Nut-Type Classifier Application Using Transfer Learning

Y Özçevik - Applied Sciences, 2023 - mdpi.com
Smart environments need artificial intelligence (AI) at the moment and will likely utilize AI in
the foreseeable future. Shopping has recently been seen as an environment needing to be …

Transfer Learning Approach for Classification of Popular Mango Species of Bangladesh

MA Shahriar, MK Rashmi… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Classifying five distinct mango species has been accomplished with the implementation of
transfer learning (TL) approach. Mango classification is significant because it helps …

Deep Transfer Learning based Light-weight Agricultural Pest Classification Model using Convolutional Neural Networks

A Bhatt, D Patel, V Ajmeri, P Goel - … International Conference on …, 2024 - ieeexplore.ieee.org
A variety of pests and insects can hinder the sprouting of major field crops including wheat,
rice, maize, sugarcane, and soybeans, as well as lower agricultural productivity. Since all …

Detection of Tea Leaf Diseases Using Deep Transfer Learning

G Vijayakanthan, R Vaishali… - 2024 Moratuwa …, 2024 - ieeexplore.ieee.org
Tea leaf diseases significantly impact both the quantity and quality of tea production in Sri
Lanka, a country where tea cultivation holds considerable economic importance …

Application of pest detection on vegetable crops using the cnn algorithm as a smart farm innovation to realize food security in the 4.0 era

AD Lestari, YJ Nurriski - Journal of Soft Computing Exploration, 2022 - shmpublisher.com
Pests and diseases are one of the factors that become obstacles in the cultivation of
vegetables because they can cause a decrease in the quality and quantity of production …

Image Processing: A Smart Technology for Early Detection of Crop Pests and Diseases

K Pakeerathan - Smart Agriculture for Developing Nations: Status …, 2023 - Springer
Sri Lanka is a fertile and well-diversified tropical Island which has the highest potential for
the cultivation of a variety of crops and animal husbandry. The agriculture sector's …

Optimizing Vegetable Classification with Convolutional Neural Networks Model

MK Goel, G Singh - … on Intelligent Cyber Physical Systems and …, 2024 - ieeexplore.ieee.org
Improvement of effectiveness and quality control in the supply chain for agricultural products
depends on correct vegetable categorization. This paper uses a large collection of different …

[PDF][PDF] INFORME DE SIMILITUD

AVM GONZALES - 2023 - repositorio.unsa.edu.pe
UNIVERSIDAD NACIONAL DE SAN AGUSTÍN DE AREQUIPA FACULTAD DE CIENCIAS
DE LA EDUCACIÓN UNIDAD DE SEGUNDA ESPECIALIDAD Page 1 UNIVERSIDAD …