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Crop Contamination Forecasting Based on Machine-Learning Approaches
AbstractThe outcomes of the survey to assess the effects of qualitative factors and meteorological parameters on crop contamination are provided. A...
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Energy-Efficient Tillage System for Crop Production
Agriculture tillage system is one of the most significant operations in crop production. Land preparation for crop cultivation is an expensive and...
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Food-cash crop diversification and farm household welfare in the Forest-Savannah Transition Zone of Ghana
Despite the importance of crop diversification in enhancing household income and food security, significant knowledge gaps remain in terms of the...
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Genome Editing of Gene Families for Crop Improvement
Crop improvement has been a long-standing focus of agricultural research, aiming to enhance nutritional richness, aroma, visual appeal, and yield to...
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Classification and identification of crop disease based on depthwise separable group convolution and feature fusion
Crop diseases have a significant impact on crop yield and quality, so there is an urgent need for a fast and accurate detection method to identify...
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Cover crop quality and quantity influences organic corn performance more than soil context
Cover crop** is a common practice among organic growers, well-known for its potential to supply nitrogen (N) to subsequent cash crops....
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Crop Yield Prediction Based on Bacterial Biomarkers and Machine Learning
Bacteria serve as a holistic indicator of soil fertility by incorporating both biotic and abiotic aspects of past and present ecosystems. However, a...
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Constraints Limiting Crop Production in Dry Land Areas
The productivity of agriculture in dry farming regions is low due to the cumulative effect of many constraints for crop production. The major...
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Assessing the Quantity of a Crop Field Using Aerial Images
Crop quantity assessment is crucial for making decisions concerning harvesting, yield estimation, and resource allocation. Traditional methods for...
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Genetic biofortification: advancing crop nutrition to tackle hidden hunger
Malnutrition, often termed “hidden hunger,” represents a pervasive global issue carrying significant implications for health, development, and...
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Upcycling rice yield trial data using a weather-driven crop growth model
Efficient plant breeding plays a significant role in increasing crop yields and attaining food security under climate change. Screening new cultivars...
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Crop response to nitrogen-phosphorus colimitation: theory, experimental evidences, mechanisms, and models. A review
Crops need adequate mineral nutrition to ensure optimal growth and yield. Nitrogen (N) and phosphorus (P) are two major elements that are essential...
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Coix: an underutilized functional food crop of Mizoram
Coix ( Coix lacryma-jobi ) comes under underutilized crops as it is neither cultivated commercially on a large scale nor widely traded. The...
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Mutagenesis: Exploring Genetic Diversity of Industrial Crop Plants
Beyond their use in food production, industrial crops—a distinct class of crops grown primarily for nonhuman consumption—are essential to many facets...
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Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies
Plant genomics plays a pivotal role in enhancing global food security and sustainability by offering innovative solutions for improving crop yield,...
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S2AM: a sustainable smart agriculture model for crop protection based on deep learning
Agriculture is the golden thread that fastens all the sustainable development goals globally. However, the massive population explosion and ecosystem...
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Crop Simulation Models for Climate Change Adaptation in Pearl Millet
Globally, climate change has a negative impact on food security, particularly in develo** nations where a growing population is battling food and...
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Policy implications of wild seaweeds used in organic crop fertilizers
Certain seaweeds are widely used in organic crop production as fertilizers. Fertilizers used in certified organic agriculture in the United States...
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Sterile sentinels and MinION sequencing capture active soil microbial communities that differentiate crop rotations
BackgroundSoil microbial communities are difficult to measure and critical to soil processes. The bulk soil microbiome is highly diverse and...
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Efficient Patch-Wise Crop Detection Algorithm for UAV-Generated Orthomosaic
Effective image segmentation is essential for extracting semantic information and performing comprehensive analytics on the collected data. This...