On the public citation graph
Towards a Second Green Revolution
0 signed · 84 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.1656472openalex-extracted
2nd Green Revolution and Agribusiness in Emerging India - Policies, Strategies and Future
inferred← citeshttps://doi.org/10.1007/978-3-030-30241-2_12openalex-snapshot
An Image-Based Deep Learning Model for Cannabis Diseases, Nutrient Deficiencies and Pests Identification
inferred← citeshttps://doi.org/10.1007/978-3-032-23945-7_31openalex-snapshot
Leveraging Generative AI: Exploring the Significance of GANs in Modern Agriculture
inferred← citeshttps://doi.org/10.1007/978-3-319-93061-9_1openalex-snapshot
Big Data for the Greater Good: An Introduction
inferred← citeshttps://doi.org/10.1007/978-981-15-8377-3_12openalex-snapshot
Design of a Predictive Measure to Enhance Neural Network Architecture for Plant Disease Detection
inferred← citeshttps://doi.org/10.1007/978-981-16-3690-5_64openalex-snapshot
A Framework to Detect Hibiscus Flower Using YOLOV3 and SSD MobileNet
inferred← citeshttps://doi.org/10.1007/978-981-16-7182-1_16openalex-snapshot
Development of an IoT-Based Bird Control System Using a Hybrid Deep Learning CNN-SVM Classifier Model
inferred← citeshttps://doi.org/10.1007/978-981-19-5896-0_12openalex-snapshot
Predictive Models for Plant Disease Assessment
inferred← citeshttps://doi.org/10.1007/978-981-19-8086-2_51openalex-snapshot
Integrating InceptionResNetv2 Model and Machine Learning Classifiers for Food Texture Classification
inferred← citeshttps://doi.org/10.1007/978-981-97-7717-4_8openalex-snapshot
Unleashing Agricultural Potential: A Comprehensive Review of Big Data Analytics for Enhanced Productivity and Sustainable Farming Practices
inferred← citeshttps://doi.org/10.1007/s10668-023-04075-2openalex-snapshot
Green economy and food security in Africa
inferred← citeshttps://doi.org/10.1007/s11042-021-11036-2openalex-snapshot
Computer Vision and Machine Learning based approaches for Food Security: A Review
inferred← citeshttps://doi.org/10.1007/s11119-022-09899-yopenalex-snapshot
Estimating maize seedling number with UAV RGB images and advanced image processing methods
inferred← citeshttps://doi.org/10.1007/s11119-023-10009-9openalex-snapshot
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review
inferred← citeshttps://doi.org/10.1007/s11274-026-05215-2openalex-snapshot
Hydrogel-encapsulated microalgae-bacteria consortia for resilient saline agriculture
inferred← citeshttps://doi.org/10.1007/s12355-023-01247-2openalex-snapshot
Population Dynamics and Estimation of Damage of the Spittlebug Aeneolamia varia on Sugarcane in Colombia by Using remote Sensing and Machine Learning Tools
inferred← citeshttps://doi.org/10.1007/s13197-011-0499-5openalex-snapshot
Effect of handling and processing on pesticide residues in food- a review
inferred← citeshttps://doi.org/10.1007/s41060-024-00547-4openalex-snapshot
Time series forecasting of wheat crop productivity in Egypt using deep learning techniques
inferred← citeshttps://doi.org/10.1007/s43621-024-00740-2openalex-snapshot
Pragmatic investigation of the effect of green and low-carbon economies on food safety in Africa
inferred← citeshttps://doi.org/10.1016/0261-2194(89)90093-8openalex-snapshot
Elestrostatic spraying of pesticides: A review
inferred← citeshttps://doi.org/10.1016/b978-0-323-85193-0.00001-2openalex-snapshot
The new green revolution and rhizobacterial volatile organic compounds: Recent progress and future prospects
inferred← citeshttps://doi.org/10.1016/b978-0-323-85214-2.00011-2openalex-snapshot
A systematic review of artificial intelligence in agriculture
inferred← citeshttps://doi.org/10.1016/b978-0-323-89778-5.00006-4openalex-snapshot
Deep Learning applied to computational biology and agricultural sciences
inferred← citeshttps://doi.org/10.1016/j.agwat.2023.108298openalex-snapshot
Exploring competitiveness of surface water versus ground water irrigation and their impacts on rice productivity and efficiency: An empirical analysis from Bangladesh
inferred← citeshttps://doi.org/10.1016/j.aiia.2021.09.001openalex-snapshot
Reducing deep learning network structure through variable reduction methods in crop modeling
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109761openalex-snapshot
A survey on deep learning applications in wheat phenotyping
inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2019.05.002openalex-snapshot
Maize seedling detection under different growth stages and complex field environments based on an improved Faster R–CNN
inferred← citeshttps://doi.org/10.1016/j.compag.2017.09.037openalex-snapshot
A review on the practice of big data analysis in agriculture
inferred← citeshttps://doi.org/10.1016/j.compag.2018.02.016openalex-snapshot
Deep learning in agriculture: A survey
inferred← citeshttps://doi.org/10.1016/j.compag.2018.08.002openalex-snapshot
Design of electronic devices for monitoring climatic variables and development of an early warning system for the avocado wilt complex disease
inferred← citeshttps://doi.org/10.1016/j.compag.2019.01.012openalex-snapshot
Apple detection during different growth stages in orchards using the improved YOLO-V3 model
inferred← citeshttps://doi.org/10.1016/j.compag.2021.106415openalex-snapshot
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.compag.2022.106696openalex-snapshot
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation
inferred← citeshttps://doi.org/10.1016/j.compag.2022.107143openalex-snapshot
Agricultural Innovization: An Optimization-Driven solution for sustainable agricultural intensification in Michigan
inferred← citeshttps://doi.org/10.1016/j.gfs.2019.08.002openalex-snapshot
The second green revolution: Innovative urban agriculture's contribution to food security and sustainability – A review
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e15245openalex-snapshot
An ensemble deep learning approach for predicting cocoa yield
inferred← citeshttps://doi.org/10.1016/j.inpa.2020.05.001openalex-snapshot
Recognition of cotton growth period for precise spraying based on convolution neural network
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126609openalex-snapshot
Plant leaf deep semantic segmentation and a novel benchmark dataset for morning glory plant harvesting
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100646openalex-snapshot
Application of transfer learning and image augmentation technology for tomato pest identification
inferred← citeshttps://doi.org/10.1017/s0021859618000436openalex-snapshot
A review of the use of convolutional neural networks in agriculture
inferred← citeshttps://doi.org/10.1029/2021ef001975openalex-snapshot
The Direct Radiative Forcing Impact of Agriculture‐Emitted Black Carbon Associated With India's Green Revolution
inferred← citeshttps://doi.org/10.1080/08839514.2021.1976091openalex-snapshot
Deep Learning Based Wheat Crop Yield Prediction Model in Punjab Region of North India
inferred← citeshttps://doi.org/10.1080/09670879009371466openalex-snapshot
Changes in application techniques used by the small scale cotton farmer in Africa
inferred← citeshttps://doi.org/10.1080/09670879309371771openalex-snapshot
Spinning‐brush very low volume pesticide applicator
inferred← citeshttps://doi.org/10.1080/21642583.2023.2278905openalex-snapshot
CA-YOLOv5: A YOLO model for apple detection in the natural environment
inferred← citeshttps://doi.org/10.1109/access.2020.3040423openalex-snapshot
Apple Detection in Natural Environment Using Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1109/agro-geoinformatics.2019.8820693openalex-snapshot
An Approximation for A Relative Crop Yield Estimate from Field Images Using Deep Learning
inferred← citeshttps://doi.org/10.1109/aic61668.2024.10730807openalex-snapshot
Comparative Analysis of Neural Networks and Deep Learning Techniques for Enhancing Precision in Agricultural Forecasting
inferred← citeshttps://doi.org/10.1109/cscs59211.2023.00018openalex-snapshot
Enhanced cyber-physical system with semantic technologies and machine learning to support smart farming
inferred← citeshttps://doi.org/10.1109/ic_etc65981.2025.11141306openalex-snapshot
A Deep Dive Assessment into Recent YOLO Models Efficiency and Robustness for Agricultural Dense Scene Analysis: A Wheat Head Study Case
inferred← citeshttps://doi.org/10.1109/icaige62696.2024.10776750openalex-snapshot
A Comparative Study for Wheat Head Detection Through Testing the Robustness of Two Global Dataset Trained YOLO Models on a Tunisian Wheat Dataset
inferred← citeshttps://doi.org/10.1109/iciip53038.2021.9702553openalex-snapshot
A Novel Model for Automatic Crop Disease Detection
inferred← citeshttps://doi.org/10.1109/imsa65733.2025.11166872openalex-snapshot
Smart Agriculture Clinic (SAC): A Transformative Technology-Based Solution to Agriculture Extension Problems in Egypt
inferred← citeshttps://doi.org/10.1109/incit.2019.8912121openalex-snapshot
Dimensionality Reduction Based on Feature Selection for Rice Varieties Recognition
inferred← citeshttps://doi.org/10.1111/jfpe.13803openalex-snapshot
An improved Yolov3 based on dual path network for cherry tomatoes detection
inferred← citeshttps://doi.org/10.1155/2021/9687950openalex-snapshot
Positioning of Apple’s Growth Cycle Based on Pattern Recognition
inferred← citeshttps://doi.org/10.12928/telkomnika.v18i4.14069openalex-snapshot
Rice seed image classification based on HOG descriptor with missing values imputation
inferred← citeshttps://doi.org/10.1515/biol-2022-0989openalex-snapshot
Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes
inferred← citeshttps://doi.org/10.18002/10612/13195openalex-snapshot
Development of formulations for the application of biofertilizers based on autochthonous microorganisms for high addedvalue crops = Desarrollo de formulaciones para la aplicación de biofertilizantes basados en microorganismos autóctonos para productos agroalimentarios con alto valor añadido
inferred← citeshttps://doi.org/10.21608/ejbo.2022.83200.1731openalex-snapshot
Artificial Intelligence for Plant Genomics and Crop Improvement
inferred← citeshttps://doi.org/10.28991/esj-2023-07-02-013openalex-snapshot
Smart Farm-Care using a Deep Learning Model on Mobile Phones
inferred← citeshttps://doi.org/10.30534/ijatcse/2022/021152022openalex-snapshot
Framework for Intelligent Early Warning Systems of Crop Diseases
inferred← citeshttps://doi.org/10.31428/10317/10362openalex-snapshot
Study of new tools for High-Throughput Phenotyping in plants and their applications in agriculture
inferred← citeshttps://doi.org/10.3233/jifs-211514openalex-snapshot
An improved YOLO network for unopened cotton boll detection in the field
inferred← citeshttps://doi.org/10.3390/agriculture14101789openalex-snapshot
Camellia oleifera Tree Detection and Counting Based on UAV RGB Image and YOLOv8
inferred← citeshttps://doi.org/10.3390/ai2030026openalex-snapshot
A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision
inferred← citeshttps://doi.org/10.3390/app12136600openalex-snapshot
Detection of Dense Citrus Fruits by Combining Coordinated Attention and Cross-Scale Connection with Weighted Feature Fusion
inferred← citeshttps://doi.org/10.3390/electronics11121812openalex-snapshot
Depth Estimation of Monocular PCB Image Based on Self-Supervised Convolution Network
inferred← citeshttps://doi.org/10.3390/electronics8080825openalex-snapshot
A Rapid Recognition Method for Electronic Components Based on the Improved YOLO-V3 Network
inferred← citeshttps://doi.org/10.3390/rs12244185openalex-snapshot
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/s20051520openalex-snapshot
Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review
inferred← citeshttps://doi.org/10.3390/su13084593openalex-snapshot
Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies
inferred← citeshttps://doi.org/10.35860/iarej.848458openalex-snapshot
Review of machine learning and deep learning models in agriculture
inferred← citeshttps://doi.org/10.4018/978-1-5225-9632-5.ch007openalex-snapshot
Applications of Data Mining Techniques in Smart Farming for Sustainable Agriculture
inferred← citeshttps://doi.org/10.4018/978-1-6684-5141-0.ch002openalex-snapshot
Applications of Deep Learning in Agriculture
inferred← citeshttps://doi.org/10.4018/978-1-6684-5352-0.ch025openalex-snapshot
Applications of Data Mining Techniques in Smart Farming for Sustainable Agriculture
inferred← citeshttps://doi.org/10.4018/978-1-6684-6418-2.ch006openalex-snapshot
Applications of Machine Learning in Agriculture
inferred← citeshttps://doi.org/10.4018/978-1-7998-2803-7.ch017openalex-snapshot
A Survey on Algorithms in Deep Learning
inferred← citeshttps://doi.org/10.4018/978-1-7998-5003-8.ch010openalex-snapshot
Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things)
inferred← citeshttps://doi.org/10.53360/2788-7995-2025-4(20)-18openalex-snapshot
AUTOMATING THE COLLECTION OF SAXAUL SEEDS USING ARTIFICIAL INTELLIGENCE
inferred← citeshttps://doi.org/10.54337/aau468596652openalex-snapshot
Computer Vision-based Monitoring of Harvest Quality
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.