AIMC Topic: Crops, Agricultural

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Comparative Life Cycle Assessment of intra-row and inter-row weeding practices using autonomous robot systems in French vineyards.

The Science of the total environment Jun 3, 2022
Viticulture, as well as other crops, is facing obligation to reduce the use of herbicides and to develop alternatives solutions to chemical weed control. These alternatives can be achieved by mechanical weeding either using tractors or weeding robots...
Humans Animals Life Cycle Stages Crops, Agricultural Weed Control Farms Robotics
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Deep learning-based approach for identification of diseases of maize crop.

Scientific reports Apr 15, 2022
In recent years, deep learning techniques have shown impressive performance in the field of identification of diseases of crops using digital images. In this work, a deep learning approach for identification of in-field diseased images of maize crop ...
Deep Learning Zea mays India Crops, Agricultural
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Joint Communication and Sensing: A Proof of Concept and Datasets for Greenhouse Monitoring Using LoRaWAN.

Sensors (Basel, Switzerland) Feb 9, 2022
In recent years, greenhouse-based precision agriculture (PA) has been strengthened by utilization of Internet of Things applications and low-power wide area network communication. The advancements in multidisciplinary technologies such as artificial ...
Crops, Agricultural Wireless Technology Communication Agriculture Artificial Intelligence
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A deep learning model to detect novel pore-forming proteins.

Scientific reports Feb 7, 2022
Many pore-forming proteins originating from pathogenic bacteria are toxic against agricultural pests. They are the key ingredients in several pesticidal products for agricultural use, including transgenic crops. There is an urgent need to identify no...
Pore Forming Cytotoxic Proteins Crops, Agricultural Pesticides Bacteria Amino Acid Sequence Deep Learning
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Modelling the reference crop evapotranspiration in the Beas-Sutlej basin (India): an artificial neural network approach based on different combinations of meteorological data.

Environmental monitoring and assessment Feb 3, 2022
Accurate prediction of the reference evapotranspiration (ET) is vital for estimating the crop water requirements precisely. In this study, we developed multi-layer perceptron artificial neural network (MLP-ANN) models considering different combinatio...
Neural Networks, Computer India Environmental Monitoring Crops, Agricultural Temperature Wind Meteorology Plant Transpiration
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A novel deep learning-based method for detection of weeds in vegetables.

Pest management science Feb 2, 2022
BACKGROUND: Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at var...
Vegetables Crops, Agricultural Weed Control Deep Learning Plant Weeds
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Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms.

Scientific reports Jan 17, 2022
Diseases caused by the fungus Sclerotinia sclerotiorum are managed mainly through fungicide applications in canola and dry bean. Accurate estimation of the risk of disease development on these crops could help farmers make spraying decisions. Five ma...
Brassica napus Neural Networks, Computer Machine Learning Fungicides, Industrial Plant Diseases Agriculture Temperature Fabaceae Ascomycota Crops, Agricultural Logistic Models Risk Assessment
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Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one Dec 16, 2021
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define...
Satellite Imagery Crops, Agricultural Machine Learning Finland Seasons
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Robust seed germination prediction using deep learning and RGB image data.

Scientific reports Nov 11, 2021
Achieving seed germination quality standards poses a real challenge to seed companies as they are compelled to abide by strict certification rules, while having only partial seed separation solutions at their disposal. This discrepancy results with w...
Crops, Agricultural Deep Learning Models, Biological Seeds Vegetables Germination
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Combining novel technologies with interdisciplinary basic research to enhance horticultural crops.

The Plant journal : for cell and molecular biology Nov 10, 2021
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some ...
Plant Breeding Interdisciplinary Research Artificial Intelligence Horticulture Crops, Agricultural Computational Biology Trees Fruit Flowers Bioengineering Nutrients Vegetables Climate Change
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