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[HTML][HTML] Smart farming for sustainable rice production: an insight into application, challenge, and future prospect
Rice has a huge impact on socio-economic growth, and ensuring its sustainability and
optimal utilization is vital. This review provides an insight into the role of smart farming in …
optimal utilization is vital. This review provides an insight into the role of smart farming in …
Temperature‐smart plants: A new horizon with omics‐driven plant breeding
The adverse effects of mounting environmental challenges, including extreme temperatures,
threaten the global food supply due to their impact on plant growth and productivity …
threaten the global food supply due to their impact on plant growth and productivity …
ResNet deep models and transfer learning technique for classification and quality detection of rice cultivars
Rice classification and quality detection are therefore crucial for ensuring the safety and
quality of rice for human consumption and reducing the financial losses associated with rice …
quality of rice for human consumption and reducing the financial losses associated with rice …
[HTML][HTML] Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
S Castillo-Girones, S Munera, M Martínez-Sober… - … and Electronics in …, 2025 - Elsevier
Abstract Artificial Neural Networks (ANNs) based models have emerged as a powerful tool
for solving complex nonlinear problems in agriculture. These models simulate the human …
for solving complex nonlinear problems in agriculture. These models simulate the human …
Estimating key phenological dates of multiple rice accessions using unmanned aerial vehicle-based plant height dynamics for breeding
H Weiyuan, L Ziqiu, F ** saline-smart lentils: a comprehensive review
A number of consequences of climate change, notably salinity, put global food security at
risk by impacting the development and production of lentils. Salinity-induced stress alters …
risk by impacting the development and production of lentils. Salinity-induced stress alters …
An efficient classification of rice variety with quantized neural networks
Rice, as one of the significant grain products across the world, features a wide range of
varieties in terms of usability and efficiency. It may be known with various varieties and …
varieties in terms of usability and efficiency. It may be known with various varieties and …
[HTML][HTML] Wheat-seed variety recognition based on the GC_DRNet model
X **ng, C Liu, J Han, Q Feng, Q Lu, Y Feng - Agriculture, 2023 - mdpi.com
Wheat is a significant cereal for humans, with diverse varieties. The growth of the wheat
industry and the protection of breeding rights can be promoted through the accurate …
industry and the protection of breeding rights can be promoted through the accurate …
Self-Supervised Domain-Adaptive learning for Self-Labeling unknown rice grains during actual rice transportation process
Industrial rice agriculture has transitioned towards intelligent computing, with an increasing
likelihood of incorporating unmanned decision-making systems. However, one lingering …
likelihood of incorporating unmanned decision-making systems. However, one lingering …
[PDF][PDF] Advancements in Artificial Intelligence (AI) for enhanced insights and automation in rice agriculture: A systematic review
KB Felizardo, AMC Paredes… - … Journal Of Science …, 2024 - pdfs.semanticscholar.org
With the rising global demand for rice, improving production efficiency through advanced
technologies like artificial intelligence (AI) is crucial. This systematic review gathered recent …
technologies like artificial intelligence (AI) is crucial. This systematic review gathered recent …