AIMC Topic: Crops, Agricultural

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Is deeper always better? Evaluating deep learning models for yield forecasting with small data.

Environmental monitoring and assessment Sep 6, 2023
Predicting crop yields, and especially anomalously low yields, is of special importance for food insecure countries. In this study, we investigate a flexible deep learning approach to forecast crop yield at the provincial administrative level based o...
Algorithms Crops, Agricultural Climate Deep Learning Environmental Monitoring
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Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

Current opinion in biotechnology Jul 27, 2023
Over the last decades, significant strides were made in understanding the biochemical factors influencing the nutritional content and flavor profile of fruits and vegetables. Product differentiation in the produce aisle is the natural consequence of ...
Plant Breeding Phenotype Crops, Agricultural Artificial Intelligence Machine Learning
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Detecting common coccinellids found in sorghum using deep learning models.

Scientific reports Jun 16, 2023
Increased global production of sorghum has the potential to meet many of the demands of a growing human population. Developing automation technologies for field scouting is crucial for long-term and low-cost production. Since 2013, sugarcane aphid (S...
Deep Learning Edible Grain Humans Animals Coleoptera Crops, Agricultural Aphids Saccharum Sorghum Insecticides
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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...
Agriculture Crops, Agricultural Algorithms Deep Learning Neural Networks, Computer
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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...
Agriculture Water Remote Sensing Technology India Crops, Agricultural Water Supply Climate Machine Learning
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Weed Detection Using Deep Learning: A Systematic Literature Review.

Sensors (Basel, Switzerland) Mar 31, 2023
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this...
Plant Weeds Crops, Agricultural Weed Control Deep Learning Agriculture Artificial Intelligence
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Machine Learning-Assisted Approaches in Modernized Plant Breeding Programs.

Genes Mar 23, 2023
In the face of a growing global population, plant breeding is being used as a sustainable tool for increasing food security. A wide range of high-throughput omics technologies have been developed and used in plant breeding to accelerate crop improvem...
Machine Learning Crops, Agricultural Artificial Intelligence Plant Breeding
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Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning.

Sensors (Basel, Switzerland) Mar 19, 2023
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due to climate change. Dicamba is widely used to control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot crop...
Herbicides Glycine max Plant Weeds Crops, Agricultural Unmanned Aerial Devices Plant Breeding Dicamba Deep Learning
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Designing artificial synthetic promoters for accurate, smart, and versatile gene expression in plants.

Plant communications Feb 9, 2023
With the development of high-throughput biology techniques and artificial intelligence, it has become increasingly feasible to design and construct artificial biological parts, modules, circuits, and even whole systems. To overcome the limitations of...
Crops, Agricultural Synthetic Biology Artificial Intelligence Promoter Regions, Genetic Gene Expression
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Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery.

Sensors (Basel, Switzerland) Feb 5, 2023
Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food sec...
Farms Deep Learning Agriculture Crops, Agricultural Pandemics Humans COVID-19
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