S Singh, R Bajpai, MM Rashid, B Teli… - … Intelligence and Smart …, 2022 - taylorfrancis.com
Agriculture has a key impact on every economy in the world. Estimated crop production varies across the globe due to a variety of factors, which include excessive consumption of …
JD Omaye, E Ogbuju, G Ataguba, O Jaiyeoba… - Artificial Intelligence in …, 2024 - Elsevier
Plant disease detection has played a significant role in combating plant diseases that pose a threat to global agriculture and food security. Detecting these diseases early can help …
Agriculture has undergone a remarkable transformation, transitioning from traditional methods that were used for centuries to technology-driven practices. The advent of image …
R Kumar, A Chug, AP Singh, D Singh - Journal of Sensors, 2022 - Wiley Online Library
Crops' production and quality of yields are heavily affected by crop diseases which cause adverse impacts on food security as well as economic losses. In India, agriculture is a prime …
Plants play a crucial role in supplying food globally. Various environmental factors lead to plant diseases which results in significant production losses. However, manual detection of …
The world population, and thus the need for food, is increasing every day. This leads to the ultimate question of how to increase food production with limited time and scarce land …
S Patil, S Kolhar, J Jagtap - International Journal of Computing …, 2024 - journal.uob.edu.bh
Efficient crop management and treatment rely on early detection of plant stress. Imaging sensors provide a non-destructive and commonly used method for detecting stress in large …
Plant diseases can significantly reduce crop yield and product quality. Visual inspections of plants by human observers for disease identification are time-consuming, costly, and prone …
As advancements in agricultural technology unfold, machine learning and deep learning approaches are gaining interest in robust plant disease identification. Early disease …