Everything you wanted to know about smart agriculture
The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid
escalation of food demand. A recent projection shows that the world is lagging behind …
escalation of food demand. A recent projection shows that the world is lagging behind …
[HTML][HTML] A systematic review of current trends in artificial intelligence for smart farming to enhance crop yield
Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …
[HTML][HTML] Fabrication and investigation of agricultural monitoring system with IoT & AI
Artificial intelligence (AI) can be used in a variety of fields and has the potential to alter how
we currently view farming. Due to its emphasis on effectiveness and usability artificial …
we currently view farming. Due to its emphasis on effectiveness and usability artificial …
Applications of computer vision on automatic potato plant disease detection: A systematic literature review
In most developing countries, the contribution of agriculture to gross domestic product is
significant. Plant disease is one of the major factors that adversely affect crop yield …
significant. Plant disease is one of the major factors that adversely affect crop yield …
A multi-crop disease detection and classification approach using cnn
Being an agricultural country, the well-being of plants plays a vital role in the agricultural
yield. Various diseases and disorders affect the quality and quantity of the production, thus …
yield. Various diseases and disorders affect the quality and quantity of the production, thus …
Performance Analysis of first order optimizers for plant pest detection using deep learning
Several of the major issues affecting food productivity are a pest. The timely and precise
detection of plant pests is crucial for avoiding the loss of agricultural productivity. Only by …
detection of plant pests is crucial for avoiding the loss of agricultural productivity. Only by …
Rice Leaf Disease Prediction: A Survey
G Singh, R Singh - 2023 International Conference on Inventive …, 2023 - ieeexplore.ieee.org
In this fast-growing overpopulated world, people are facing food insecurity problem. To feed
an enormous amount of people agriculture is straining natural resources. Rice is the main …
an enormous amount of people agriculture is straining natural resources. Rice is the main …
Leaf disease detection using convolutional neural network
S Omar, R Jain, V Bali - … on machine learning, big data, cloud …, 2022 - ieeexplore.ieee.org
The growth of a country is based upon the agricultural as well as its industrial development.
In India, the two most commonly used vegetables are tomato and potato. In this article, there …
In India, the two most commonly used vegetables are tomato and potato. In this article, there …
[HTML][HTML] Mobile-Based convolutional neural network model for the early identification of banana diseases
CA Elinisa, N Mduma - Smart Agricultural Technology, 2024 - Elsevier
This study aimed to deploy a deep learning model in a mobile application for the early
identification of Fusarium Wilt and Black Sigatoka in bananas. In this paper, a Convolutional …
identification of Fusarium Wilt and Black Sigatoka in bananas. In this paper, a Convolutional …
Potato Plant Disease Classification using Convolution Neural Network
P Gupta, H Waghela, S Patel, N Rajgor… - 2023 International …, 2023 - ieeexplore.ieee.org
Plant productivity and quality are greatly affected by plant diseases. Digital image
processing can help identify diseases. Deep learning has significantly outperformed …
processing can help identify diseases. Deep learning has significantly outperformed …