AIMC Topic: Agriculture
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Dissolved organic matter evolution and straw decomposition rate characterization under different water and fertilizer conditions based on three-dimensional fluorescence spectrum and deep learning.
Journal of environmental management
Jul 3, 2023
Straw returning is a sustainable way to utilize agricultural solid waste resources. However, incomplete decomposition of straw will cause harm to crop growth and soil quality. Currently, there is a lack of technology to timely monitor the rate of str...
Development potential of nanoenabled agriculture projected using machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Jun 14, 2023
The controllability and targeting of nanoparticles (NPs) offer solutions for precise and sustainable agriculture. However, the development potential of nanoenabled agriculture remains unknown. Here, we build an NP-plant database containing 1,174 data...
Detecting stress caused by nitrogen deficit using deep learning techniques applied on plant electrophysiological data.
Scientific reports
Jun 14, 2023
Plant electrophysiology carries a strong potential for assessing the health of a plant. Current literature for the classification of plant electrophysiology generally comprises classical methods based on signal features that portray a simplification ...
Emerging technology in agriculture: Opportunities and considerations for occupational safety and health researchers.
Journal of safety research
Jun 12, 2023
INTRODUCTION: A variety of factors are driving the development of robotics and automation in the agriculture industry including the nature of work, workforce shortages, and a variety of economic, climatic, technologic, political, and social factors. ...
Crop pest detection by three-scale convolutional neural network with attention.
PloS one
Jun 2, 2023
Crop pests seriously affect the yield and quality of crop. To timely and accurately control crop pests is particularly crucial for crop security, quality of life and a stable agricultural economy. Crop pest detection in field is an essential step to ...
A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.
Environmental toxicology and chemistry
May 8, 2023
While chemicals are vital to modern society through materials, agriculture, textiles, new technology, medicines, and consumer goods, their use is not without risks. Unfortunately, our resources seem inadequate to address the breadth of chemical chall...
Construction of deep learning-based disease detection model in plants.
Scientific reports
May 5, 2023
Accurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experiences in pla...
Estimating the common agricultural policy milestones and targets by neural networks.
Evaluation and program planning
May 3, 2023
The New Delivery Model, introduced by the 2023-2027 Common Agricultural Policy, shifts the focus of policy programming and design from a compliance-based approach to one based on performance. The objectives indicated in the national strategic plans a...
Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.
Environmental science and pollution research international
Apr 29, 2023
Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool f...
A Review of Successes and Impeding Challenges of IoT-Based Insect Pest Detection Systems for Estimating Agroecosystem Health and Productivity of Cotton.
Sensors (Basel, Switzerland)
Apr 20, 2023
Using artificial intelligence (AI) and the IoT (Internet of Things) is a primary focus of applied engineering research to improve agricultural efficiency. This review paper summarizes the engagement of artificial intelligence models and IoT technique...
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