Emerging digital technologies potential in promoting equitable agricultural supply chain: A scoping review

HA Mwangakala, H Mongi, F Ishengoma… - … Forecasting and Social …, 2024 - Elsevier
The agricultural sector plays a pivotal role in global economies, providing livelihoods and
sustenance for billions. However, it faces numerous challenges, including low productivity …

Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective

Y Yang, J Qin, J Lei, Y Liu - Sustainability, 2023 - mdpi.com
The widespread application of artificial intelligence technology in various fields has made
the sustainable development of artificial intelligence courses an important direction in the …

Plant disease detection using image processing with machine learning

A Kiran, SKL Naik, MS Raj… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Crop diseases pose a severe challenge to food security, yet in many parts of the world it is
still challenging to promptly diagnose them owing to a lack of necessary infrastructure …

Reactor temperature prediction method based on CPSO-RBF-BP neural network

X Tang, B Xu, Z Xu - Applied Sciences, 2023 - mdpi.com
A neural network model based on a chaotic particle swarm optimization (CPSO) radial basis
function-back propagation (RBF-BP) neural network was suggested to improve the accuracy …

Precision Regulation and Forecasting of Greenhouse Tomato Growth Conditions Using an Improved GA-BP Model

W Zhang, W Zhong, Z Liu, B Du, M Li, M Huang, H Yu… - Sustainability, 2024 - mdpi.com
Tomatoes are annual herbaceous plants of the family Solanaceae. They have very stringent
requirements for their growing environment and climate conditions. To precisely control the …

Evaluating teaching quality in colleges using combination of artificial neural networks (ANNs) and black hole optimization (BHO)

L Guan - Heliyon, 2023 - cell.com
Automated evaluation of educational quality can be an effective measure of the efficiency of
teaching methods, enabling the determination of the best teaching approach based on the …

Sentiment Analysis using Machine Learning algorithms for Customer Product Reviews

I Sapthami, BM Krishna, T Bhaskar… - 2023 Second …, 2023 - ieeexplore.ieee.org
The infrastructure of healthcare is undergoing development with Abstract—Customers and
businesses engaged in online commerce are now engaged in global conversations through …

The application of improved backpropagation neural network in college student achievement prediction

Q Qin, S Jiang - Decision Science Letters, 2024 - m.growingscience.com
Educational institutions generate a large amount of digital data in their daily operations,
which is stored in servers, forming a substantial educational data set. Extracting valuable …

Agriculture Crop Recommendation System Using Machine learning

S Allam, B Manjusha, A Vuyyuru… - … on Advancements in …, 2024 - ieeexplore.ieee.org
India's socioeconomic system is mostly dependent on agriculture. Farmers used to rely on
word-of-mouth, but the current climate prevents them from doing so. The IT industry has …

AI based Scarecrow Preventing from Crop Vandalization

YA Rani, T Bhaskar, M Arshad… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Crop harm as a result of animal assaults is one of the foremost threats in decreasing the
crop yield. Crop in farms is often broken via local animals like buffalos, cows, goats, wild …