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Estimation of wheel slip in 2WD mode for an agricultural tractor during plowing operation using an artificial neural network
Published 2023-04-01“…Abstract As artificial neural networks (ANNs) have been shown to be precise and reliable in supporting the field of artificial intelligence technology, agricultural scientists have focused on employing ANN for agricultural applications. …”
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102
Acquisition and Homeostasis of Iron in Higher Plants and Their Probable Role in Abiotic Stress Tolerance
Published 2018-02-01“…Hence, it has attracted the attention of plant physiologists and agricultural scientists who are discovering more exciting and hidden applications of Fe and its potential in the development of bio-factories. …”
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A comparative analysis of spider prey spectra analyzed through the next‐generation sequencing of individual and mixed DNA samples
Published 2021-11-01“…Abstract As one of the most abundant predators of insects in terrestrial ecosystems, spiders have long received much attention from agricultural scientists and ecologists. Do spiders have a certain controlling effect on the main insect pests of concern in farmland ecosystems? …”
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104
Making farming more sustainable by helping farmers to decide rather than telling them what to do
Published 2021-01-01“…Along with securing continued productivity growth in agricultural output for the future, policy makers and public sector agricultural scientists in Canada have become increasingly concerned with managing environmental externalities associated with agricultural production in order to achieve the objective of sustainable intensification of the sector. …”
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105
Technological Revolution, Disruptive Technology and Smart Agriculture
Published 2022-12-01“…As an agricultural application of transboundary technology, the smart agricultural technology with intelligent sensing technology as the core is not dominated by agricultural scientists like agricultural machinery technology revolution, chemical technology revolution and green revolution technology. …”
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106
A Review of Deep Learning in Multiscale Agricultural Sensing
Published 2022-01-01“…More and more agricultural scientists are paying attention to applications of deep learning in image-based farmland observations, such as land mapping, crop classification, biotic/abiotic stress monitoring, and yield prediction. …”
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Micronutrients Potential of Underutilized Vegetables and Their Role in Fighting Hidden Hunger
Published 2020-01-01“…However, researchers and agricultural scientists have given little or no attention to such vegetables, as to what constitutes their potentials in curbing hidden hunger. …”
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108
Exogenous application of moringa leaf extract improves growth, biochemical attributes, and productivity of late-sown quinoa.
Published 2021-01-01“…Quinoa (Chenopodium quinoa Willd.) has gained significant popularity among agricultural scientists and farmers throughout the world due to its high nutritive value. …”
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109
Exogenous application of moringa leaf extract improves growth, biochemical attributes, and productivity of late-sown quinoa
Published 2021-01-01“…Quinoa (Chenopodium quinoa Willd.) has gained significant popularity among agricultural scientists and farmers throughout the world due to its high nutritive value. …”
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110
Veterinary decision making in relation to metritis - a qualitative approach to understand the background for variation and bias in veterinary medical records
Published 2009-08-01“…Understanding the human influence on data collection and the decisions related to this process may help veterinary and agricultural scientists motivate observers (veterinarians and farmers) to work more systematically, which may improve data quality. …”
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Plant, space and time - linked together in an integrative and scalable data management system for phenomic approaches in agronomic field trials
Published 2020-04-01“…Breeders, extension specialists, official testing agencies and agricultural scientists are assisted in all steps of a typical workflow with planning, designing, conducting, controlling and analyzing field trials to generate new information for decision support in the crop improvement process.…”
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114
Daily bias-corrected weather data and daily simulated growth data of maize, millet, sorghum, and wheat in the changing climate of sub-Saharan Africa
Published 2024-06-01“…Crop models are the primary means by which agricultural scientists assess climate change impacts on crop production. …”
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115
Exogenous application of moringa leaf extract improves growth, biochemical attributes, and productivity of late-sown quinoa
Published 2021“…Quinoa (Chenopodium quinoa Willd.) has gained significant popularity among agricultural scientists and farmers throughout the world due to its high nutritive value. …”
Get full text
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