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[HTML][HTML] Unravelling the use of artificial intelligence in management of insect pests
B Kariyanna, M Sowjanya - Smart Agricultural Technology, 2024 - Elsevier
As per the FAO, the insect pest causes 30 to 40 percent loss every year across the globe.
The identification, classification and management of insect pest is very important to avoid …
The identification, classification and management of insect pest is very important to avoid …
Smart connected farms and networked farmers to improve crop production, sustainability and profitability
To meet the grand challenges of agricultural production including climate change impacts
on crop production, a tight integration of social science, technology and agriculture experts …
on crop production, a tight integration of social science, technology and agriculture experts …
Persistent monitoring of insect-pests on sticky traps through hierarchical transfer learning and slicing-aided hyper inference
F Fotouhi, K Menke, A Prestholt, A Gupta… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction Effective monitoring of insect-pests is vital for safeguarding agricultural yields
and ensuring food security. Recent advances in computer vision and machine learning have …
and ensuring food security. Recent advances in computer vision and machine learning have …
[HTML][HTML] Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review
S Wang, D Xu, H Liang, Y Bai, X Li, J Zhou, C Su… - Remote Sensing, 2025 - mdpi.com
Traditional methods for detecting plant diseases and pests are time-consuming, labor-
intensive, and require specialized skills and resources, making them insufficient to meet the …
intensive, and require specialized skills and resources, making them insufficient to meet the …
Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production
BJ Balabaygloo, B Bekee, SW Blair, S Fey… - arxiv preprint arxiv …, 2023 - arxiv.org
To meet the grand challenges of agricultural production including climate change impacts
on crop production, a tight integration of social science, technology and agriculture experts …
on crop production, a tight integration of social science, technology and agriculture experts …
Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
S Kar, J Adinarayana - … Data Science for Sustainable Agriculture and …, 2024 - Springer
Sustainable agriculture and natural resource management solutions depend on and vary
with the requirements and objectives of the stakeholders, typically encompassing varying …
with the requirements and objectives of the stakeholders, typically encompassing varying …
[PDF][PDF] Smart Agricultural Technology
B Kariyanna, M Sowjanya - researchgate.net
As per the FAO, the insect pest causes 30 to 40 percent loss every year across the globe.
The identification, classification and management of insect pest is very important to avoid …
The identification, classification and management of insect pest is very important to avoid …