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RANDOM FOREST REGRESSION APPROACH FOR CROP YIELD ESTIMATION USING SENTINEL- 1 SAR, LULC, CLIMATE DATA
Crop Yield Estimation Plays A Major Role In Agricultural Planning And Food Security. Traditional Methods Of Crop Yield Estimation Are Time-consuming And Require Extensive Field Surveys. This Study Focuses On Estimating Rice Crop Yield Using...
AM Biofertilizer And Sustainable Resource Management For Arid Land Cultivation Practice
Arbuscular Mycorrhiza (AM) Plays A Crucial Role To Combat The Water Stress Condition In Dry Land For The Host Plants. More Than 80% Of The Angiosperm Plants Are AM Infected Symbiotically. So, The Use Is Beneficial And Application Is Very Cr...
Agriculture Management System Using Machine Learning
The Agriculture Management System (AMS) Is A Smart, Machine Learning-based Platform That Assists Farmers In Making Data-driven Decisions For Crop Selection, Fertilizer Use, Irrigation Planning, And Yield Estimation. It Analyzes Key Factors...
The Role Of Organic Fertilizers In Enhancing Soil Fertility And Crop Yield In Organic Farming Systems
Organic Fertilizers Are Fundamental To Maintaining Soil Fertility And Enhancing Crop Productivity In Organic Farming Systems. Unlike Synthetic Inputs, Organic Amendments Such As Compost, Vermicompost, Farmyard Manure (FYM), Green Manures, A...
Impact Of Phytonematodes On Citrus Yield In India: A Review Of Loss Estimates And Control Measures
Phytonematodes Are A Significant Threat To Citrus Cultivation In India, Leading To Substantial Yield Losses And Affecting The Quality Of Fruits. Among The Most Damaging Species Are Meloidogyne Spp. (root-knot Nematodes), Radopholus Simi...
AI-BASED CROP PRODUCTIVITY PREDICTING MODEL TO RESOLVE UNPREDICTABLE CLIMATE
Climate Change Poses A Growing Threat To Global Agriculture, With Unpredictable Weather Patterns, Rising Temperatures, And Extreme Events Impacting Crop Yields And Food Security. This Project Harnesses Artificial Intelligence (AI) And Machi...
ADVANCED WEED MANAGEMENT APPROACHES AND THEIR IMPACT ON YIELD, ECONOMIC BENEFITS AND WEED CONTROL EFFICIENCY IN IRRIGATED HYBRID MAIZE
A Study Was Conducted On “Optimizing The Pre Emergence Herbicide And Time Of Post Emergence Weed Management Practice In Irrigated Maize”at Maize Research Station, Vagaraiduring 2017-18, 2018-19 And 2019-20 To Optimize The Pre-emergence Herb...
FARMING FUTURES : PREDICTING CROP YIELDS USING AI AND IOT
"Farming Futures" Carefully Crafts The Soundtrack To The New Agriculture, Using The Power Of The Internet Of Things And Intelligence To Transform Plants. The Interface Converts Soil Data Into Predictions By Integrating PH, Nutrient, Moistur...
A DATA-DRIVEN APPROACH TO PLANT SUGGESTIONS USING SOIL HEALTH AND FOOD PRICE DATA
This Research Introduces A Data-driven Framework For Suggesting Suitable Plants By Analyzing Soil Health And Food Prices. It Aims To Enhance Agricultural Decision-making By Integrating These Factors. Through Data Collection, Preprocessing,...
DRONE, INFORMATION AND CROP: A COMPUTATIONAL APPROACH TO ACCURACY HORTICULTURE
The Horticulture Industry Is On The Brink Of A Mechanical Insurgency, Driven By The Integration Of Ramble Swarms Prepared With Progressed Sensors And Fake Insights (AI) Capabilities. This Term Paper Investigates The Transformative Potential...
A REVIEW ON PREDICTION OF AGRARIAN YIELD THROUGH MACHINE LEARNING
Crop Yield Prediction Is A Critically Important Forecasting Problem Trying To Address Food Security In The World. This Is A Crucial AI Based Application Where The Previous Crop Yield Is Used To Train A Machine Learning Model And Then The Fu...
A COMPREHENSIVE SURVEY ON ESTIMATING CROP YIELDS BASED ON MACHINE LEARNING
Crop Yield Prediction Is A Critically Important Forecasting Problem Trying To Address Food Security In The World. This Is A Crucial AI Based Application Where The Previous Crop Yield Is Used To Train A Machine Learning Model And Then The Fu...
RESEARCH ON CROP YIELD PREDICTION BASED ON INDIAN AGRICULTURE USING MACHINE LEARNING
This Paper Has Been Prepared As An Effort To Reassess The Research Studies On The Relevance Of Machine Learning Techniques In The Domain Of Agricultural Crop Production. This Method Is A New Approach For Production Of Agricultural Crop Mana...
A REVIEW ON CROP YIELD PREDICTION BASED ON INDIAN AGRICULTURE USING MACHINE LEARNING
In India, We All Know That Agriculture Is The Backbone Of The Country. This Paper Predicts The Yield Of Almost All Kinds Of Crops That Are Planted In India. This Script Makes Novel By The Usage Of Simple Parameters Like State, District, Sea...
IMPROVE FEEDER EFFICIENCY BY ADDING EXOTHERMIC MATERIAL IN RISER (SLEEVE)
Metal Casting Manufacturing Is The Basic Principle And Important In Casting Industry. To Improve The Productivity The Feeder Should Be Efficient Enough For The Cast To Be Produced Efficiently With No Defect. Defects Are The Main Problem In...