AIMC Topic: Crops, Agricultural

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Predicting crop root concentration factors of organic contaminants with machine learning models.

Journal of hazardous materials Oct 5, 2021
Accurate prediction of uptake and accumulation of organic contaminants by crops from soils is essential to assessing human exposure via the food chain. However, traditional empirical or mechanistic models frequently show variable performance due to c...
Linear Models Soil Crops, Agricultural Neural Networks, Computer Machine Learning Humans
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Explainable machine learning models of major crop traits from satellite-monitored continent-wide field trial data.

Nature plants Oct 4, 2021
Four species of grass generate half of all human-consumed calories. However, abundant biological data on species that produce our food remain largely inaccessible, imposing direct barriers to understanding crop yield and fitness traits. Here, we asse...
Machine Learning Australia Crops, Agricultural Spacecraft Life History Traits Remote Sensing Technology Models, Biological
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Advances in for Abiotic Stress Resilience: From 'Omics' to Artificial Intelligence.

International journal of molecular sciences Sep 29, 2021
Legumes are a better source of proteins and are richer in diverse micronutrients over the nutritional profile of widely consumed cereals. However, when exposed to a diverse range of abiotic stresses, their overall productivity and quality are hugely ...
Quantitative Trait Loci Plant Breeding Crops, Agricultural Stress, Physiological Genomics Fabaceae Artificial Intelligence
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LightGBM: accelerated genomically designed crop breeding through ensemble learning.

Genome biology Sep 20, 2021
LightGBM is an ensemble model of decision trees for classification and regression prediction. We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines. LightGBM exhibits superior performa...
Decision Trees Zea mays Crops, Agricultural Genomics Polymorphism, Single Nucleotide Plant Breeding Software Genome-Wide Association Study Machine Learning
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Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds.

PLoS computational biology Sep 16, 2021
Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, i...
Algorithms Animals Computational Biology Machine Learning Crops, Agricultural Pollination Flowers Bees Solanum lycopersicum Acoustics
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Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping.

PloS one Sep 2, 2021
Cosegmentation is a newly emerging computer vision technique used to segment an object from the background by processing multiple images at the same time. Traditional plant phenotyping analysis uses thresholding segmentation methods which result in h...
Helianthus Fagopyrum Cluster Analysis Crops, Agricultural Humans Deep Learning Markov Chains Crop Production Benchmarking Phenotype Image Processing, Computer-Assisted
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Predicting phenotypes from genetic, environment, management, and historical data using CNNs.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 27, 2021
Convolutional Neural Networks (CNNs) can perform similarly or better than standard genomic prediction methods when sufficient genetic, environmental, and management data are provided. Predicting phenotypes from genetic (G), environmental (E), and man...
Genomics Neural Networks, Computer Crops, Agricultural Zea mays Machine Learning Data Mining Phenotype
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Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

Nature plants Jun 24, 2021
Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from...
Crop Production Crops, Agricultural Artificial Intelligence Nanotechnology Agrochemicals Sustainable Development
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Crop yield prediction integrating genotype and weather variables using deep learning.

PloS one Jun 17, 2021
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop producti...
Neural Networks, Computer Crops, Agricultural Genotype Deep Learning Glycine max Weather Plant Breeding
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The Concept of the Constructional Solution of the Working Section of a Robot for Harvesting Strawberries.

Sensors (Basel, Switzerland) Jun 7, 2021
Strawberry fruits are products of high commercial and consumption value, and, at the same time, they are difficult to harvest due to their very low mechanical strength and difficulties in identifying them within the bush. Therefore, robots collecting...
Fragaria Fruit Agriculture Crops, Agricultural Robotics
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