Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python Machine Learning Mastery (2019) Google Scholar Cakir et al., 2014 Cakir, Y., Kirci, M., Gunes, E.O., 2014. Yield prediction of wheat in south-east region of Turkey by using artifici...
One of the vital tasks is the crop yield predictionat its early stage;because it forms one of the most challenging tasks inprecision agriculture as it demands a deep understanding of the growth patternwith the highly nonlinear parameters. Environmental parameters like rainfall,temperature, humidity, ...
Crop yield prediction plays an essential role in agricultural planning and decision-making. The present research offers a comprehensive study into the use of machine learning algorithms for agricultural production prediction based on a variety of fertilizers consumption and area production of various crops...
Nanobiotechnology can boost crop production and quality: first evidence from increased plant biomass, fruit yield and phytomedicine content in bitter melon... Background Recent research on nanoparticles in a number of crops has evidenced for enhanced germination and seedling growth, physiological ...
Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data 2024, Drones Integrating genetic algorithm with ARIMA and reinforced random forest models to improve agriculture economy and yield forecasting 2024, Soft Computing A Novel Deep Learning-Based Hybrid Method for the Deter...
Importantly, yield prediction in genotypes was computed using four machine learning regression algorithms i.e., linear regression, support vector machine, random forest, and deep learning H2O-3, where H2O-3 was the most accurate model with R2=0.80. Results show that multispectral-driven traits ...
Crop Yield Prediction using Machine Learning and Deep Learning Techniques Agriculture is a significant contributor to India's economic growth. The rising population of country and constantly changing climatic conditions have an i... K Jhajharia,P Mathur,S Jain,... - 《Procedia Computer Science》 ...
Crop Yield Prediction using Machine Learning: A Review of Recent Approaches P Kumar,P Bharti,B Kumar - 《International Journal of Computer Applications》 被引量: 0发表: 2023年 Agricultural Crop Yield Prediction using Machine Learning: A Review The fast pace of urban development minimize the ...
Crop Yield Prediction Using Machine Learning Approaches Crop yield prediction plays an essential role in agricultural planning and decision-making. The present research offers a comprehensive study into the use ... D Bhagat,S Shah,RK Gupta - International Conference on Machine Learning 被引量: 0发表...
Machine learning, a subset of Artificial Intelligence (AI), enables prediction, classification, and automation in agriculture. It optimizes irrigation, fertilization, and crop selection, aiding decision-making for food security and crop management. This study proposes two robust machine learning ...