A survey on deep learning and its impact on agriculture: Challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …
A machine learning-based comparative approach to predict the crop yield using supervised learning with regression models
B Panigrahi, KCR Kathala, M Sujatha - Procedia Computer Science, 2023 - Elsevier
Agriculture is essential for the existence of all human beings. It is not only a need, but it also
contributes to national growth. Agriculture is the only industry that benefits both itself and the …
contributes to national growth. Agriculture is the only industry that benefits both itself and the …
Predicting Students' Performance Using Machine Learning Algorithms: A Review
SO Oppong - Asian Journal of Research in Computer …, 2023 - eprints.go2submission.com
Educational Data Mining is a discipline focused on developing ways for studying the unique
and increasingly large-scale data generated by educational settings and applying those …
and increasingly large-scale data generated by educational settings and applying those …
Machine Learning Based Deep Cloud Model to Enhance Robustness and Noise Interference
M Raparthi, A Agarwal - Journal of Engineering, Science and …, 2023 - review.jesm.in
To improve the ability of the 3-D point cloud deep network classification model, this paper
presents a competitive attention fusion module that may be applied to various classification …
presents a competitive attention fusion module that may be applied to various classification …
The evolution of AI and its transformative effects on computing: a comparative analysis
Artificial intelligence (AI) has become one of the most significant technological
advancements in recent years. It is transforming various sectors and industries, including …
advancements in recent years. It is transforming various sectors and industries, including …
Surveillance Approaches to Intrusion Detection, Crop Health, and Disease Prevention in Agriculture
NB Nong, M Tarek - Quarterly Journal of Emerging Technologies and …, 2023 - vectoral.org
Agriculture is facing numerous challenges in the 21st century, including crop damage from
intrusions, water stress, weed infestation, and disease outbreaks. This study examines the …
intrusions, water stress, weed infestation, and disease outbreaks. This study examines the …
Ensuring Food Security and Agriculture Demand using Machine Learning and Sensor based Technologies
Agriculture is important for sustaining human life. Contribution of agriculture to the Indian
economy is around 20%. It is estimated that by the year 2050, Indian will need 60% more …
economy is around 20%. It is estimated that by the year 2050, Indian will need 60% more …
[PDF][PDF] Can Generative AI Craft Variable Questions? A Mixed-Method Study on AI's Capability to Adopt, Adapt, and Create New Scales
This study examines the capabilities of Generative arti cial intelligence (AI), particularly GPT-
4, in transforming research scale development, a process traditionally characterized by …
4, in transforming research scale development, a process traditionally characterized by …