Apprendimento automatico (ML) Jobs

Description: I need a bot that trades on Polymarket's "BTC price up/down in 5 minutes" binary markets. The bot will buy a "Yes" token when it predicts a price increase within the next 10 seconds, then sell immediately after a small upward tick — scalping tiny profits repeatedly. The model's output is the probability of a price rise in the next 10 seconds (not the full 5 minutes). Role: Full-stack ML engineer → data pipeline + LSTM/XGBoost model + backend API + frontend dashboard. Tasks: Ingest BTC spot price (1s or 1min), VIX, Polymarket token price, order book data Train LSTM or XGBoost to output probability of price increase in next 10 seconds Build FastAPI backend + simple frontend (Streamlit/React) Integrate with Polymarket CLOB API for li...

I need a computer-vision pipeline that can ingest an uploaded logo image (PNG or JPG) together with a video file and then return every instance of that logo throughout the clip. The videos that come in will be MP4, AVI, or MOV, and the solution must run smoothly. Here’s how I picture the workflow: • The script accepts the logo and video paths from a simple CLI or minimal API endpoint. • It scans each frame, flags every logo hit, and outputs a tidy JSON or CSV that lists, for each detection, the start timestamp, on-screen duration, and bounding-box coordinates. • No extra training or fine-tuning whenever a new logo is supplied—the detector should work right away with whatever image is uploaded. I’m after well-commented, maintainable code, and I&rsquo...

I have a large, continually growing collection of emails that needs to be processed automatically. The goal is twofold: 1. Classify each email into predefined business categories with high accuracy. 2. Extract relevant entities (names, dates, IDs, product references, etc.) from the same messages. You will own the entire machine-learning workflow. That means cleaning and exploring the raw email text, crafting useful features, training and tuning your models, and packaging the final solution behind an API that I can call from our existing back-end. Python is a must, and I’m comfortable with either TensorFlow or PyTorch for the deep-learning components—use whichever lets you move fastest. Traditional techniques with Scikit-learn are welcome wherever they make sense. Because t...

Project Description: I am looking for an experienced Machine Learning or AI specialist to develop a climate-responsive adaptive façade control system. The goal is to create an intelligent model that automatically adjusts façade shading devices and ventilation strategies based on environmental conditions to improve thermal comfort and reduce energy consumption. Project Objectives: Develop a Machine Learning-based adaptive façade control system Predict optimal shading positions based on outdoor temperature and indoor conditions Improve thermal comfort while minimizing energy consumption Create a climate-responsive façade control framework Expected Deliverables: Machine learning model (Python / MATLAB / suitable platform) Feature importance analysis Predictive ...

I need reusable, editable templates for social media posts, specifically for Twitter and Instagram. These templates should be integrated into a Python program. Requirements: - Templates for text and image content - Editable and reusable within Python - Designed for Twitter and Instagram formats Ideal Skills and Experience: - Proficiency in Python - Experience with social media post design - Familiarity with Twitter and Instagram requirements

I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • ...

deploy a dual-model pipeline on AWS. Scope of Work Dual-Model Deployment: Deploy the Pillar-0 (Atlas architecture) for multi-finding classification across Chest, Abdomen, and Brain. Integrate Sybil-1.5 for specialized future lung cancer risk prediction (1–6 year horizon). Inference Pipeline & Report Generation: deploy pipeline that takes zipped DICOM files, performs 3D volumetric reconstruction, and runs concurrent inference. script (attached). This script shows how to read the (Zip file), stack of the medical pictures (DICOMs) into a 3D block, and run both the Pillar-0 model (for findings) and Sybil-1.5 (for cancer risk) -This tells AWS which specialized tools to install to read 3D medical images AWS Cloud Architecture: Host models on AWS SageMaker (GPU instances like m...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

What you'll do Design and optimize AI image/video generation pipelines for high-concurrency inference Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX) Optimize GPU inference performance using TensorRT, xformers, and quantization techniques Implement LoRA-based fine-tuning for character consistency and style customization Collaborate with ML researchers to accelerate the path from research to production Requirements 5+ years of AI/ML engineering experience Hands-on experience with video or image generation systems in production Strong PyTorch skills; experience with Diffusers and DiT architectures Solid understanding of GPU inference optimization (TensorRT, xformers, quantization) Practical LoRA fine-tuning experience, including hyperparameter t...

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I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

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I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment

The project centres on building a production-ready medical image -classification pipeline that leverages modern deep-learning techniques. I have a labelled dataset and need end-to-end code that ingests the text, handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; The preprocessing must involve Quantum computing techniques using Pennylane. PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Export...

I need an AI-powered study planner app for Android, designed specifically for JEE aspirants. The app should include: - Personalized study schedules - Progress tracking - Mock test analysis - Smart revision system Additionally, the AI should offer study suggestions based on performance analysis to help students improve, especially in their weak areas. Ideal skills and experience include: - Experience in AI development - Mobile app development for Android - Knowledge of educational technology - UI/UX design for user-friendly interfaces I am looking for a developer who can create a robust, reliable, and intuitive application that will help students stay consistent and achieve their academic goals.

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...

I am preparing a scientific-grade computer-science paper that explores how Artificial Intelligence can be applied to Disease Diagnosis, with a sharp focus on Genetic Disorders. I already have a broad outline but need a researcher-writer who can turn it into a publishable manuscript that meets typical IEEE or Springer journal standards. Here’s what I’m after: • Scope. A clear literature review on AI techniques currently used for diagnosing genetic conditions such as cystic fibrosis, sickle-cell, or rare chromosomal abnormalities. Contrast traditional pipelines with cutting-edge deep-learning approaches (CNNs, Transformers, multimodal models, etc.). • Original contribution. Either propose a novel framework or run a small-scale experimental study on an open dataset (...

Road Accident Analysis Dashboard | Power BI | DAX • Engineered an interactive Power BI dashboard tracking 5+ accident KPIs (severity, fatality rate, peak hours, high-risk zones) using DAX measures across a 12-month dataset. • Reduced insight discovery time by ~40% for stakeholders by replacing static reports with drill-down filters by location, vehicle type, and accident cause. • Applied DAX-based time intelligence to compare YoY fatality trends, revealing a 15% increase in night-time accidents that guided policy recommendations. AI-Enabled Multi-Disease Detection System | Machine Learning | Python • Built a multi-label ML classifier detecting Diabetes and Heart Disease with 87%+ accuracy using Logistic Regression and Random Forest on a 1,000+ patient d...

Project Overview: We are seeking an experienced Machine Learning Specialist to assist in the development and implementation of machine learning models for the controlled synthesis of carbon dots (CDs). This project involves data-driven prediction of optical properties of CDs based on key reaction parameters. The ideal candidate will have expertise in machine learning algorithms, data preprocessing, feature engineering, and model optimization. Knowledge of Python and relevant libraries (e.g., Pandas, Scikit-learn) is essential. Project Description: The project aims to apply machine learning techniques to predict and optimize the synthesis of carbon dots, focusing on properties like fluorescence intensity, emission wavelength, and stokes shift. The dataset comprises experimental data on 80 ...

I want to replace paper timesheets with an automatic clock-in / clock-out system that identifies staff by face the moment they pass our main entrance camera. As soon as a recognised face crosses the frame, the system should log the arrival or departure time against that employee’s profile and store the record in an attendance database I can export to CSV or Excel. Architecture is open: I’m comfortable with a cloud, on-prem, or hybrid deployment—whichever you feel offers the best balance of accuracy, speed and privacy given a single entrance camera. No links to my HR or payroll software are needed for now, so a self-contained dashboard or lightweight web portal that lets me view, edit and download daily, weekly and monthly reports is perfect. Key deliverables &bull...

We are looking for an experienced technical recruiter to help source and screen high-quality engineers for ongoing projects. Roles we are hiring for include: - AI / Machine Learning Engineers - Data Scientists - Data Engineers - Backend Engineers (Java, Go, Rust, C#) Responsibilities: - Source qualified candidates (LinkedIn, networks, communities, etc.) - Pre-screen candidates (technical fit, communication, experience) - Present a shortlist of high-quality candidates - Coordinate initial introductions/interviews Requirements: - Proven experience recruiting for technical roles (AI/ML or backend preferred) - Strong understanding of engineering profiles and tech stacks - Ability to identify high-quality candidates (not mass submissions) - Good communication and responsiveness Nice to have...

I need an AI solution to assist in treatment recommendations within the healthcare sector. The ideal candidate should have the following skills and experience: - Expertise in AI and machine learning, particularly in the healthcare domain - Experience in developing algorithms for treatment recommendations - Strong background in data analysis and healthcare data management - Familiarity with regulatory standards in healthcare AI applications - Ability to create a user-friendly interface for healthcare professionals Please provide a detailed approach to how you would develop and implement this AI solution.

I have a collection of ordinary photos that I want to pass through an AI-powered generator and receive noticeably improved results without manual tweaking. Your solution can be a Python script, a small desktop utility, or a lightweight web app—as long as I can point it to an image and get a refined JPEG back in seconds. The generator should handle any everyday picture, whether it’s a night scene, a portrait, a landscape or something completely different, and consistently lift visual quality in the areas that matter most to me: • Brightness aur contrast • Sharpness aur detail • Colors aur tones Preferred output: JPEG. Feel free to lean on pretrained models such as Real-ESRGAN, Stable Diffusion upscalers, or any custom GAN that fits, as long as the final...

I have a flow of numerical data arriving on a regular basis and I want the entire predictive-analysis cycle handled automatically in Python. The goal is a script or small pipeline that can pull the fresh data, clean and transform it, train or update a predictive model, and then return the forecasts (plus standard performance metrics) without manual intervention. I expect you to choose the appropriate Python libraries—think pandas for wrangling, scikit-learn or a comparable framework for modelling, and perhaps joblib or pickle for model persistence—and stitch them together in a way that lets me trigger everything with a single command or scheduled job. Clear, well-commented code and a short README that shows how to run the automation are part of the deliverable. If you can set ...

I run several cooking blogs and want to automate the creation of clean, consistent ingredient photos. Your task is to train (or fine-tune) an image-generation model so that it reliably produces minimalistic ingredient shots laid out on a wooden surface. Here’s what I need from you: • Help me assemble, clean, and label a high-quality training set of ingredient images that match the desired look. • Select or build the best model architecture (Stable Diffusion, DreamBooth, or a comparable approach)—I’m open, as long as it learns quickly and can run locally after training. • Train and validate the model, then deliver the final weights, a straightforward inference script, and a short guide so I can generate new photos on demand (Python preferred). &bu...

I need a complete high-frequency trading (HFT) strategy for actively-traded equities. The solution must be built around three data pillars that I already have in place: extensive historical tick data for back-testing, a low-latency real-time market feed for live decisions, and curated news feeds for event-driven signals. Your job is to transform these inputs into a production-ready strategy that can ingest the streams, react within microseconds, and handle the entire trade life-cycle—from signal generation through execution and risk checks—without human intervention. Deliverables • Strategy logic and mathematical model, fully documented • Back-test framework wired to my historical data, with reproducible results • Low-latency execution module that plugs...

We are looking for an experienced technical recruiter to help source and screen high-quality engineers for ongoing projects. Roles we are hiring for include: - AI / Machine Learning Engineers - Data Scientists - Data Engineers - Backend Engineers (Java, Go, Rust, C#) Responsibilities: - Source qualified candidates (LinkedIn, networks, communities, etc.) - Pre-screen candidates (technical fit, communication, experience) - Present a shortlist of high-quality candidates - Coordinate initial introductions/interviews Requirements: - Proven experience recruiting for technical roles (AI/ML or backend preferred) - Strong understanding of engineering profiles and tech stacks - Ability to identify high-quality candidates (not mass submissions) - Good communication and responsiveness Nice to have...

Cash Flow Forecasting Model — Summary 1. Overall Objective The system predicts future cash inflows and outflows and produces a daily/weekly/monthly cash forecast, supported by a recommendation engine that suggests actions to improve liquidity. The model integrates multiple financial signals such as: Accounts receivable collections Vendor payments Project milestone billing Sales pipeline deals Non-sales inflows Operational expenses All signals are normalized into a single cash forecast which treasury can use for decision making. 2. End-to-End Architecture The system is structured around a Central Financial Intelligence Layer that stores behavioural features and model outputs. Data Flow Raw financial data Feature store (behavioural signals) ML models Cash flow modules Cash event normal...

? HAGO Contest #2 – April ? For data scientists and analytics enthusiasts, we present a new challenge with Amazon sales dataset. ? Tasks: Explore the dataset in depth Analyze patterns and trends Build a predictive model using Python Submit results in a PDF file within our private community ? Prize: The winner receives $15 USD for the best analysis and prediction ? Don’t forget to join the IFAI Contest for future forecasting, where the winner earns $10 USD. ✨ Tips to increase your chances of winning: Make your analysis comprehensive yet easy to understand Add clear and insightful visualizations Focus on prediction accuracy and creative ideas

I need an AI expert to predict race winners in horse racing using private databases. Key requirements: - Develop an AI model for accurate predictions. - Use and integrate private data sources. - Focus on race winner predictions. Ideal skills and experience: - Expertise in AI and machine learning. - Experience with horse racing data and private databases. - Proven track record in prediction models. - Strong analytical and computational skills. Please include relevant past work in your application.

I want a single, cohesive piece of software that lets me run AI-driven automated trades across several markets—specifically forex alongside India’s NSE and BSE, with room to plug in other exchanges later. The core engine should analyse live order-book and price data in real time, decide on the most suitable approach for the current conditions (whether that ends up being scalping, day-trading or swing-trading), execute orders automatically and learn from the results. A built-in layer of risk controls—position sizing, draw-down limits, stop-loss logic—must be easy for me to adjust on the fly. Historical back-testing, paper-trading and rich performance analytics are vital so I can validate new ideas before they touch a live account. Please make the strategy rules, ...

• Description Video frames will be fed into the engine, and the backend API will return certain information: 1. Types of sports What sport is it? Football/basketball/rugby/American football, etc 2. List of Logos Detected logos: UEFA, Real Madrid, Bayern Munich, Liverpool, Inter, etc 3. List of players Identify players from the shirt: 10 Kylian Mbappe, 11 Rodrygo, 12, 13 … 4. Home/away From the players’ wears: Real Madrid home/away, Liverpool home/away 5. Match info (team and score) on the top left corner of the screen (if there is any) Upon a worker's initiation and processing, your engine will store the identified information in memory and send it back to the front end. The worker can be re-initiated/reused. For training purposes, there will be the following ...

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I’m building an on-demand library of advanced technology courses for a Telugu-speaking audience and need subject-matter experts who can independently create polished, pre-recorded video lessons. Technologies in scope: Salesforce, VLSI, Cybersecurity, MATLAB, Generative AI, and Data Science. If you are deeply experienced in any one of these areas and comfortable explaining complex topics fluently in Telugu (English overlay or keywords are welcome where it aids clarity) I’d like to collaborate with you. What you will deliver • A clearly structured syllabus that takes learners from assumed fundamentals to advanced, job-ready competence in your chosen technology. • A series of high-resolution video modules with clear screen-casts, voice-over, and on-screen caption...

I'm seeking an experienced AI developer to create a model for generating adult content videos. Key Requirements: - Process adult videos - Generate new adult content Ideal Skills: - Expertise in AI and machine learning - Experience with video processing and generation - Familiarity with adult content regulations and ethics Please provide: - Detailed project proposals - Relevant past work and experience in AI and adult content Looking forward to your bids!

Need an AI/Full-Stack freelancer to build an MVP that can recommend compatible IC components and generate a hardware system architecture based on user requirements. Looking for experience in Python, AI/LLMs, recommendation systems, structured databases, and preferably hardware/electronics domain knowledge.

I'm looking to develop an AI-based clothing brand that generates unique streetwear designs based on user inputs. The designs should incorporate bold graphics, minimalistic designs, and vintage styles. Additionally, the AI should offer a mix of user-chosen and AI-generated color options. Key Requirements: - AI model to generate streetwear designs - Incorporate user inputs for design elements - Offer customizable color options - Focus on bold, minimalistic, and vintage styles Ideal Skills and Experience: - Expertise in AI and machine learning - Experience in fashion design, particularly streetwear - Knowledge of graphic design - Strong understanding of color theory and user customization I'm looking for a creative and technical partner to bring this vision to life.

I have a Python script that controls an antenna array and performs object detection with a basic Hamming-windowed FFT. While it works, the range resolution is still too coarse for my needs. I began experimenting with the MUSIC algorithm and even toyed with the idea of adding a continual-learning loop, but I would like a cleaner, expertly implemented solution—whether that is MUSIC, ESPRIT, a refined windowing strategy, or any other modern signal-processing method you can justify. Here is the current landscape: • Language & stack: Python with NumPy, SciPy and Matplotlib. • Key variable: signal-processing methods drive the entire detection chain, so any change must integrate cleanly with the existing pipeline. • Desired outcome: a measurable, demonstrable improve...

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This implementation leverages the ASI Alliance (the 2024–2026 merger of , SingularityNET, and Ocean Protocol) and the uAgents 2026 platform you are interacting with is a decentralized "Agentic Commerce" ecosystem. Below is the breakdown of the specific platforms and the framework being used in your provided implementation.1. The Core Framework: uAgents 2026 ()The logic is built on uAgents, an open-source Python framework developed by : It allows for the creation of autonomous AI agents that can communicate, negotiate, and transact without human Almanac: In the code, the Agent registers itself on the Almanac. This is a smart contract on the ASI Alliance Mainnet that serves as a decentralized "Yellow Pages," allowing other agents to find your "Sentinel" ...

I'm looking for an experienced developer to create an AI agent. Essential skills and experience include: - Proficiency in AI technologies - Strong coding skills, preferably in Python or JavaScript - Experience with NLP, machine learning, or predictive analytics Please provide a portfolio of similar work.

I run ABS, a consultancy that delivers custom AI solutions for a range of end-clients. As new projects keep coming in, I’m looking to add a versatile AI developer to our bench for long-term, hourly work. When you apply, please include: • Your hourly rate (this is mandatory for shortlisting) • A brief note on which AI sub-fields you excel at and the tools you reach for first • Links or descriptions of 1-2 past projects that show your impact Looking forward to collaborating on innovative AI solutions together.

I need a Python expert to help automate data processing tasks. The data is primarily numeric. Key Tasks: - Write scripts to automate data processing. - Handle large datasets efficiently. - Ensure accuracy and reliability in automation. Ideal Skills and Experience: - Proficiency in Python, especially in scripting and automation. - Experience with libraries like Pandas, NumPy. - Strong problem-solving skills. - Ability to work with large numeric datasets. Looking forward to your bids!

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"Traders in my System" — Your gateway to institutional-grade capital. I am the founder of Alpha Genesis Advisors, and I am currently recruiting elite traders and community leaders to join our rapidly expanding prop-trading ecosystem. We don’t just follow the market; we dominate it using high-frequency algorithms and predictive analytics. What We Offer: Direct Capital Allocation: I am providing my own private capital for 1-2 initial trading sessions. You don't need to risk your own funds—prove your edge, and we provide the leverage. 40/60 Profit Split: Our model is simple and transparent. You keep 60% of the profits, while 40% is reinvested into the growth of our global fund. This is a partnership built for the long term. Technological Superiority: Our s...

I need a concise, four-page white paper that explains how today’s automotive brands are using machine learning to elevate customer experience. The sole lens is customer-facing value, not autonomy or maintenance. Within those four pages, please present: • Personalized in-car services – how recommendation engines, voice assistants, or edge-deployed models learn a driver’s habits and tailor infotainment, climate, or navigation in real time. • Enhanced safety features that passengers recognise directly, such as adaptive driver alerts or occupant monitoring, showing how ML turns raw sensor data into intuitive feedback. • Optimized dealership interactions – from predictive lead scoring to AI-powered service scheduling that keeps owners happy long afte...

I run ABS, a consultancy that delivers custom AI solutions for a range of end-clients. As new projects keep coming in, I’m looking to add a versatile AI developer to our bench for long-term, hourly work. When you apply, please include: • Your hourly rate (this is mandatory for shortlisting) • A brief note on which AI sub-fields you excel at and the tools you reach for first • Links or descriptions of 1-2 past projects that show your impact Looking forward to collaborating on innovative AI solutions together.

I need a production-ready solution that ingests raw Infrared Spectroscopy readings from a handheld or benchtop spectrophotometer, extracts the relevant spectral fingerprints, and predicts both the presence and concentration of common pesticide residues on fresh fruit and vegetable samples. My current lab setup streams CSV files over USB; if you have dealt with other device protocols, feel free to propose an efficient data-capture approach. Core requirements • A clean Python pipeline that parses the spectra, performs any necessary preprocessing (baseline correction, smoothing, normalization), and feeds the data into a TensorFlow model. • A well-documented training notebook + scripts so the model can be re-trained when new pesticides or produce types are added. • (Optio...