Non Technical Summary
Big Data in a Box, Inc. extends its work from the Phase I stage to the current Phase II stage, where it plans to enhance the features and scope of the SPIDER application. The enhanced application will bring organic farmers and certifiers together on a connected platform to ensure efficient data collection and compliance processes. We use the latest AI-supported methods to collect, validate, and store farm operations data from multiple sources. The multimodal data are mapped to the farm and accessible to the farmer and the certifier. Through the methods we implement, the application ensures the data's privacy, provenance, and veracity.Manyoperatorsofsmallandmid-sizedorganicandnaturalfarmsarehandicappedbecauseoftheirinabilitytousedata-driven decisionsforcompliance,operationalimprovements,orenhancing the marketpotentialoftheirproductsandvalue-addedservices.Farmersdonothaveaccesstoeconomical, easy-to-use technologies,nordotheyhavetheabilitytoavailoftheadvancesthat data-driven applicationsoffer. Only a few large companies in thisagricultural ecosystem providetheservicesandtechnologytoeasethehassleofrecordkeeping, andtheyaretailoredmorefor large-scalefarmers.Smallandmid-sizedorganicandnaturalfarmsareemergingplayersinadvancingruralandsocialdevelopment.Further,certifiersandothersupplychainactorshavedifficultyreviewingandassessingfarmdataandoperations.Limitedtechnicalsolutions exist forbetterknowledgesharingandidentifyingvalue-added products.SPIDER(SmartPortableInteractiveDataExtractionandReporting)isanaffordable, easy-to-use, AI-based softwareapplicationfromBIGDATAINABOX,INC thatmanages the dataanddecisionneedsoforganicfarmers certifiersandsupplychainecosystempartners.SPIDEReases the record-keeping burden, enableseasierandfastercertificationtasks, andempowerstheusertobedata-drivenandefficient.Ourcloud-basedplatformandmobilesolutionsmakeorganicfarming frustration-free,smart,andprofitablefor farmersandcertifyingagencies.SPIDERempowersorganicfarmerswithinnovativeusesoftheir data.Weofferatwo-sidedplatformsupportingfarmersandcertifyingagencies.Oursuperior data-driven solutionspackage helps organicfarmers workwithdatageneratedfromtheiroperations.Forcertifiers,theplatformaccordsanincreasedmarketoffarmersrequiringtheirservices, andthetechnology reduces theprocessingandworkloadsofthecertifier.Ourcurrentfocusistodevelopand scale up thetechnology.The go-to-market strategywouldbetopartnerwithstakeholdersoftheorganicproduct ecosystem tomarketourtechnology.

Classification

Knowledge Area (KA)	Subject of Investigation (SOI)	Field of Science (FOS)	Percent
601	1129	2080	33%
803	0001	3030	33%
903	0199	1060	34%

Knowledge Area
601 - Economics of Agricultural Production and Farm Management; 803 - Sociological and Technological Change Affecting Individuals, Families, and Communities; 903 - Communication, Education, and Information Delivery;

Subject Of Investigation
1129 - Berries and cane fruits, general/other; 0199 - Soil and land, general; 0001 - Administration;

Field Of Science
1060 - Biology (whole systems); 2080 - Mathematics and computer sciences; 3030 - Information and communication;

Goals / Objectives
The overall goal of this USDA SBIR Phase II project is to develop, test, and commercialize our software application, SPIDER, which aims to set a benchmark for user efficiency and user engagement. The technical objectives are designed to ensure high performance, seamless integration, and a user-centric experience. We are committed to delivering a product that exceeds industry standards for security, scalability, and maintainability. By leveraging cutting-edge technologies and contemporary development methodologies, BDiB will address the complex needs of small and mid-size organic farms, certifying agencies, and other ecosystem players, providing them with a versatile tool that adapts to their needs. The specific objectives to achieve the Phase II goals and the research questions that must be answered are listed below.Technical Objective 1: To demonstrate that Phase I SPIDER can be developed, tested, and deployed as a commercially viable product, streamlining data collection and record keeping.Technical Objective 2: To prove SPIDER application can scale to meet the expected growth in organic certified farms and meet farmers' and certifiers' data security and privacy needs.Technical Objective 3: To demonstrate the adoption of the SPIDER application and associated data capture and compliance processes via surveys and focus groups among organic certification agencies, farmers, and food processors.Technical Objective 4: To prove the economic practicality of the business model incorporating AI-based decision support solutions for farmers and other stakeholders.

Project Methods
Based on our experience in Phase II,wearefocusingondevelopingnewdatacapturestrategies.Wewillfinalizetherequiredmethodsandtechniques.Thesemethodsandtechniqueswillinvolvevariousprogrammingtoolsandcloud-basedservices.Thesemethodsincludevoicecaptureandtransformationintotranscripts,extractingrelevantdatafromthetranscripts,integratingimagescapturedandtranslatedtoassociateddata,andmappingdatatofarmer'sfields.Wewillcreateusecasescenariosthat involvea customerjourneythrough the organiccertificationprocess,testplans, and casescenariostobuildawarenessamongthefarmersandvalidateuserrequirements.The app's interface wouldbemadeintuitivebydevelopingtheinterfacerequirements.Wewilldefineanddesignroles andaccessmethodsforusersecurityandprivacy.Accessandsegregationofdatawillbeachievedbyusingacombinationofuserrolesandcertificationprocesspoliciesdesignedintotheapplication.UsingthissecurityframeworkdesignSPIDERapplicationwillbeabletosegregate,partition, andprotectuserdata.Adoptionrate(daily,weekly,ormonthly),time-to-firstkeyaction,andpercentageofusersperformingcorefunctionsconstitutethethree-adoptionmetrics.Weplantouseatwo-sidedmarket(alsoknownasamulti-sidedplatform)thatleveragestechnologytocreatevaluebyenablinginteractionsandtransactionsbetweentwodistinctgroupsofusers.Organicfarmerswillbenefitfrom a data-drivendecision-supportsystem, andorganiccertifiersensurethatorganicfarmingpracticesmeetregulatorystandardsandcertificationrequirements.