A systematic review on automatic insect detection using deep learning

AC Teixeira, J Ribeiro, R Morais, JJ Sousa, A Cunha - Agriculture, 2023 - mdpi.com
Globally, insect pests are the primary reason for reduced crop yield and quality. Although
pesticides are commonly used to control and eliminate these pests, they can have adverse …

[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 …

[HTML][HTML] How Can Soil Quality Be Accurately and Quickly Studied? A Review

RA El Behairy, HM El Arwash, AA El Baroudy… - Agronomy, 2024 - mdpi.com
Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This
review examines the definition, evaluation methods, indicator selection, and relevant case …

Impact of population aging on food security in the context of artificial intelligence: Evidence from China

CC Lee, J Yan, F Wang - Technological Forecasting and Social Change, 2024 - Elsevier
As population aging becomes the new demographic norm in China, its workforce structure is
changing, and its demographic dividend is about to disappear. Artificial intelligence (AI) has …

Geospatial-based machine learning techniques for land use and land cover mapping using a high-resolution unmanned aerial vehicle image

T Mollick, MG Azam, S Karim - Remote Sensing Applications: Society and …, 2023 - Elsevier
Bangladesh is primarily an agricultural country where technological advancement in the
agricultural sector can ensure the acceleration of economic growth and ensure long-term …

Combining deep learning and multi-source GIS methods to analyze urban and greening changes

M Francini, C Salvo, A Vitale - Sensors, 2023 - mdpi.com
Although many authors have observed a degradation in greening cover alongside an
increase in the built-up areas, resulting in a deterioration of the essential environmental …

[PDF][PDF] Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies.

S Sow, S Ranjan, MF Seleiman… - Phyton (0031 …, 2024 - researchgate.net
Agriculture plays a crucial role in the economy, and there is an increasing global emphasis
on automating agricultural processes. With the tremendous increase in population, the …

Progressive quality estimation of oyster mushrooms using neural network–based image analysis

T Sarkar, A Mukherjee, K Chatterjee, S Smaoui… - Quality Assurance and …, 2023 - qascf.com
We have developed an artificial intelligence–based quality prediction model for oyster
mushroom samples in this work. The proposed model tends to predict the progressively …

High-throughput remote sensing of vertical green living walls (VGWs) in workplaces

D Helman, Y Yungstein, G Mulero, Y Michael - Remote Sensing, 2022 - mdpi.com
Vertical green living walls (VGWs)—growing plants on vertical walls inside or outside
buildings—have been suggested as a nature-based solution to improve air quality and …

Intelligent Identification Method of Crop Species Using Improved U‐Net Network in UAV Remote Sensing Image

Z Liu, B Su, F Lv - Scientific Programming, 2022 - Wiley Online Library
Aiming at the problems of incomplete classification features extraction of remote sensing
images and low accuracy of crop classification in existing crop classification and recognition …