Advancement improving the acquisition of customer insights in digital marketing by utilising advanced artificial intelligence algorithms

BT Geetha, M Yenugula, N Randhawa… - … on Trends in …, 2024 - ieeexplore.ieee.org
An intriguing fresh development in digital marketing is the integration of artificial intelligence
(AI). This paper delves into this topic. Conceptually, AI involvement in app development is …

Artificial Intelligence and the Food Value Chain

S Wendt, TO Sigurjonsson - … for Sustainability: Innovations in Business and …, 2024 - Springer
This chapter examines opportunities for the application of artificial intelligence in the food
value chain to enhance the sustainability of food production, aggregation, processing, and …

Research on the impact of the locations of luminaire failure on traffic safety in highway tunnels

X Wang, Q He, L You, L Wang - Traffic Injury Prevention, 2024 - Taylor & Francis
Objective The safety of highway tunnels hinges heavily on proper lighting infrastructure, yet
luminaire failures pose an ongoing challenge. The study aims at assessing the impact of the …

Significance of Machine Learning in Apple Disease Detection and Implications

S Bashir, SNH Bukhari, F Firdous, GJ Kour - Data-Driven Farming, 2024 - taylorfrancis.com
The apple is one of the most popular fruits worldwide, and its production has been
increasing steadily over the years. However, apple diseases pose a significant threat to the …

Digitalisation and Integrated Information Systems in the Agri-Food Sector

A Figurek, A Thrassou, L Efthymiou… - … Innovation and Contextual …, 2024 - Springer
A suitable system for monitoring and evaluating processes must exist for the agri-food
industry to see better results. This system's tasks include locating the variables that are …

Short-Term Weather Forecasting for Precision Agriculture in Jammu and Kashmir: A Deep-Learning Approach

SNH Bukhari, SF Pandit - Data-Driven Farming, 2024 - taylorfrancis.com
Agriculture is an important sector in India contributing almost 16% to the total economy of the
country. One of the major challenges faced by this economically crucial sector is weather …

Crop Recommender: Machine Learning–Based Computational Method to Recommend the Best Crop Using Soil and Environmental Features

SNH Bukhari, JK Wani, U Iqbal, MA Dar - Data-Driven Farming, 2024 - taylorfrancis.com
Agriculture is one of the main sectors that contributes to the economic growth of any country.
A large number of people in our country are dependent on agriculture for their sustenance …

Using Deep Learning to Detect Apple Leaf Disease

SNH Bukhari, R Manzoor, U Iqbal, MA Dar - Data-Driven Farming, 2024 - taylorfrancis.com
Apple cultivation, the occupation of the majority of people of Kashmir, not only brings wealth
to the people but also gifts its cultivators with nutritious and healthy fruits. This rich source of …

Deep Reinforcement Learning for Smart Irrigation

A Khanna, IU Hassan - Data-Driven Farming, 2024 - taylorfrancis.com
The integration of Deep Reinforcement Learning (DRL) techniques in the context of smart
irrigation systems is examined in this chapter. Smart irrigation has become a viable solution …

Strategizing Financial Management in the Age of AI for Enhanced Decision-Making and Predictive Analysis

M Kaur, P Salgotra, V Laxmi… - … Conference on Trends in …, 2024 - ieeexplore.ieee.org
This empirical study investigates the strategic implications, technical complexities, and future
directions for institutions that adopt artificial intelligence (AI) in their decision-making and …