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Product DescriptionOriginally introduced with our Monster Lite Half Rack, these angled 30” front-foot attachments are now available a la carte, offering additional stabilization and unique training versatility for any bolt-together RML-390, RML-490, or RML-690 power rack.**Please Note: The feet are NOT compatible with Monster Lite Fold Back Racks, the Slim Rack, or the RML-390F Flat Foot Rack. They CAN be used with a welded-panel RML-3 Rack, but customers will need to purchase additional hardware for mounting. For Monster Rack owners, please see our Monster Half Rack Foot Pair.Read MoreMONSTER LITE HALF RACK FOOT - PAIROriginally introduced with our Monster Lite Half Rack, these angled 30” front-foot attachments are now available a la carte, offering additional stabilization and unique training versatility for any bolt-together RML-390, RML-490, or RML-690 power rack.**Please Note: The feet are NOT compatible with Monster Lite Fold Back Racks, the Slim Rack, or the RML-390F Flat Foot Rack. They CAN be used with a welded-panel RML-3 Rack, but customers will need to purchase additional hardware for mounting. For Monster Rack owners, please see our Monster Half Rack Foot Pair.Each M-Lite foot extension is made in the USA from 3x3” 11-gauge steel with an MG Black Powder Coat finish, and features a series of 7 laser-cut holes (5/8” in diameter, spaced 2” on center) along the horizontal portion of the attachment, with 4 additional holes along the angled portion. No mounting hardware is included with this kit, as customers can simply use the existing hardware on a compatible Monster Lite rack to attach the foot pair.Convenient for adding band pegs and Rogue Monster Bands, the extended 30” feet offer better opportunities for movements outside the usual confines of the rack, including deadlifts, squats, and bench. Other popular attachments, like the Rogue Landmine, are also compatible.Important: If users are doing band work with the rack as an anchor, we highly recommend that the rack is securely fastened to the floor. Floor mounting hardware is not included.Gear SpecsSpecifications:Made in USACompatible only with Monster Lite RML-390 (BT), RML-490, and RML-690 units (Welded-Panel RML-390 Rack owners can also attach the feet, but will need to acquire mounting hardware)3x3” 11-gauge steel tubeMG Black Powder Coat FinishExtend 30” off the mounting uprightsImprove rack stability(11) 5/8” holes for adding band pegs and other attachments (7 holes on horizontal portion, 4 holes on angled portion)No Mounting Hardware Included - existing rack hardware can be used for set-upShippingRogue Fast ShippingThe Rogue Shipping System allows you to track your order from the time you place it to the time it hits your door. Order today, track today. From previous years when marketplace and e-distribution firms garnered the lion’s share of investment ($203 million out of a total of $257 million). In contrast, meat delivery businesses received only US$20 million.Growing segments within agritech in IndiaSupply chain technology and output markets have the highest potential in India, worth US$12.1 billion, followed by financial services, precision agriculture and farm management, quality management and traceability, and market linkages-farm inputs (US$1.5 billion) out of a total projected agritech market potential of US$24 billion.The following are some of the most well-known companies active in various agritech segments:Fasa, Bitmantis, Agronxt, and Soilsens are examples of IoT-powered agriculture and drones.DeHaat, Ninjacart, Jumbotail, Bijak, Farmzen are marketplaces and e-distributors.DeHaat, AgriBegri, AgroStar, BigHaat, Gramophone are some farm inputs available.Cropin, FarmERP, AgNext, and BharatAgri Precision agriculture and farm managementAgroStar, IFFCO Kisan, RML, Farmbee, and Fasal Salah are the farmers’ advisories.Aggois, Niruthi, Weather Risk, Jai Kisan, Aggois, Niruthi, Weather Risk, Jai Kisan, Aggois, Niruthi, NiruthiEquipment leasing companies include EM3, Agri Bolo, and Tractor Bazaar.Licious, Zappfresh, and Pesca are some of the meat delivery services available. To Your House, FreshNebulaa, AgricX, and Intello Labs are the companies that measure crop quality.Drip Tech, Netafim, Cultyvate, and Soilsens are examples of intelligent farm equipment.Mahyco, Nu-genes, and Nuziveedu seeds are hybrid seeds.Fresco, Triton Foodworks, and Junga are all hydroponics companies. Absolute Foods are fresh and green.Input market linkage and farming as a service (FaaS) segment:In India, major players include AgroStar and BigHaat, which provide farmers with a missed call-based service for ordering inputs and equipment and a cash-on-delivery service. By collaborating directly with the producers, these companies have eliminated many intermediaries. As part of farming-as-a-service, several organisations provide services like on-demand machinery leasing, field levelling, and pesticide spraying.Supply chain, post-harvest management, and output market linkage segment: This segment contributed the most to the agritech industry’s revenue in FY 2020 and also grew the fastest among all segments during the same year. Collection, processing, storage, logistics, and distribution of agricultural produce from farmers to end customers or merchants are all part of the segment’s activities. Inadequate rural infrastructure and a lack of traceability throughout the supply chain have pushed agritech companies to enter the market. This area is dominated by startups like Ninjacart, Waycool, and Samunnati.Precision farming, analytics, and advisory segment: During FY 2020, this segment, which provides precision farming solutions and advisory services, grew by roughly 17%. This segment’s companies address structural difficulties caused by farmers’ lack of awareness about scientific farming practices. These companies employ IoT sensors or GIS technology to collect farm-specific data like soil, weather conditions, humidity, pests, and so on and then use their analytical capabilities to deliver timely insights to farmers. These firms are also developing quality evaluation and grading solutions for large agribusinesses and traders. In India, roughly 200-250 startups are providing similar services. Clover, Cropin, KhetiNext, Zentron, and other notable startups.Agri fintechAgritech startups in this area provide services including credit, insurance, warehouse receipt financing, trade financing, and so on. Farmers’ largest problem is a lack of

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Output to customers is being developed.Financial services: It include credit lines for input purchases, equipment purchases, and crop insurance or reinsurance.Advisory/Content: Online information systems for agronomic, price, and market data.Agritech provides the opportunity to address a variety of present pain points in the agriculture sector across the value chain, therefore expanding the market potential.Using technology to modernise and introduce systemic efficiency in India’s agriculture sector can open up investment prospects.This can be accomplished in a variety of ways, including:Facilitating input market linkages, underpinned by a solid physical infrastructure network, can address current concerns such as input price volatility and sub-optimal input selection.Precision agriculture can boost yield by as much as 30%.Farm management can increase operational efficiencies and reduce expenses by digitising documents.Quality management and traceability will assist farmers in achieving greater results in high-quality food, further motivating them to use new methods.Facilitating output market linkages through an efficient post-harvest supply chain eliminates inefficiencies like high farm food wastage, resulting in a win-win situation for farmers and consumers.Better financial services might benefit 30 per cent of farmer households with credit and 65 per cent of farmer households with crop insurance.Business models in India’s agritech sectorThe following are the several types of business models in the agritech industry:Margin-based model: This model operates in market linkage – farm inputs, supply chain technology, and output market linkage, where the agritech operator gets a margin by developing marketplace linkages on the information or output side and by delivering the promised services.Subscription-based model: Agritech players in areas like precision agriculture and farm management and quality management and traceability use a subscription-based model to offer a mix of hardware, software, and services-based solutions throughout the year and collect monthly or annual subscription fees from their customers.Transaction-based model: This is used by agritech firms that provide financial services. It is based on the number of loans or insurance policies offered.Overview of agritech in IndiaDuring FY 2019-20, the agritech industry saw a revenue increase of around 85 per cent. According to an Ernst & Young 2020 report, the Indian agritech market has a potential worth of US$24 billion by 2025, of which only 1% has been realised thus far. This potential is estimated to be worth US$35 billion by 2025, according to another analysis by Bain & Company.With India’s ever-increasing internet penetration and rural areas as the critical engine of this growth, the country is well-positioned to adapt to changing agricultural techniques and move from traditional business models to new innovative business models powered by agritech.Investing in India’s agritech spaceEM3, Cropin, Jumbotail, Ninjacart, DeHaat, AgroStar, Farmbee, Licious, and Zappfresh are the most prominent firms getting funding in the Indian agritech landscape.Since 2015, investments in Indian agritech have increased by a factor of ten, with a total investment of US$242 million in 2020 (through October). The meat delivery segment of startups attracted the most funding in the agritech industry in 2020, with US$124 million, followed by the marketplace and e-distribution businesses (US$83 million).The results for 2020 are a major departure

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Libsystem_kernel.dylib 0x00007fff6be19ce6 __psynch_cvwait + 101 libsystem_pthread.dylib 0x00007fff6bee0185 _pthread_cond_wait + 7012 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c51f09 uv_cond_wait + 93 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c43bd1 worker + 814 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1485 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 30:0 libsystem_kernel.dylib 0x00007fff6be19ce6 __psynch_cvwait + 101 libsystem_pthread.dylib 0x00007fff6bee0185 _pthread_cond_wait + 7012 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c51f09 uv_cond_wait + 93 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c43bd1 worker + 814 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1485 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 31:0 libsystem_kernel.dylib 0x00007fff6be19ce6 __psynch_cvwait + 101 libsystem_pthread.dylib 0x00007fff6bee0185 _pthread_cond_wait + 7012 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c51f09 uv_cond_wait + 93 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c43bd1 worker + 814 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1485 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 32:0 libsystem_kernel.dylib 0x00007fff6be19ce6 __psynch_cvwait + 101 libsystem_pthread.dylib 0x00007fff6bee0185 _pthread_cond_wait + 7012 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c51f09 uv_cond_wait + 93 com.adobe.torqnative.dynamic.torqnative.macos.alpaca.v8.rtti 0x0000000120c43bd1 worker + 814 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1485 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 33:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 34:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 35:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 36:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 37:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 38:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 39:0. Download FarmBee - RML Farmer latest version for Android free. FarmBee - RML Farmer latest update: J

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Libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 40:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 41:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 42:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 43:0 libsystem_kernel.dylib 0x00007fff6be17296 semaphore_wait_trap + 101 libtbb.dylib 0x0000000119862c8f tbb::internal::rml::private_worker::thread_routine(void*) + 4472 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 44:: com.apple.CFSocket.private0 libsystem_kernel.dylib 0x00007fff6be1f5be __select + 101 com.apple.CoreFoundation 0x00007fff34743985 __CFSocketManager + 6392 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1483 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 45:: IPCClient rcvr: FMClient.502.986.4839452096.10 libsystem_kernel.dylib 0x00007fff6be1f5be __select + 101 com.extensis.FontManagement.plugin-interface 0x0000000174afe7a2 GIPCReceiver::OSWaitForData() + 39522 com.extensis.FontManagement.plugin-interface 0x0000000174aef448 GIPCClient::ReceiverThreadProc(GThread*) + 4563 com.extensis.FontManagement.plugin-interface 0x0000000174b1975e GThread::PthreadInternal(void*) + 2544 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1485 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 46:: Agent IF Message Handler0 libsystem_kernel.dylib 0x00007fff6be19ce6 __psynch_cvwait + 101 libsystem_pthread.dylib 0x00007fff6bee0185 _pthread_cond_wait + 7012 com.extensis.FontManagement.plugin-interface 0x0000000174b0d2df GSemaphore::TimedWait(unsigned int) + 853 com.extensis.FontManagement.plugin-interface 0x0000000174af2549 GIPCClient::GIPCMTDataAccumulator::WaitForData(unsigned int, std::__1::vector >&, bool) + 414 com.extensis.FontManagement.plugin-interface 0x0000000174a22150 GAgentIFMessageHandlerThread::RunMessageHandlerThread() + 1465 com.extensis.FontManagement.plugin-interface 0x0000000174a220b0 GAgentIFMessageHandlerThread::AgentIFMessageHandlerThreadFunc(GThread*) + 426 com.extensis.FontManagement.plugin-interface 0x0000000174b1975e GThread::PthreadInternal(void*) + 2547 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1488 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 47:: IPCDataHandler for rcvr: FMClient.502.986.4839452096.10 libsystem_kernel.dylib 0x00007fff6be1f5be __select + 101 com.extensis.FontManagement.plugin-interface 0x0000000174af98f2 -[IPCDataHandler handleDataFromSocket:] + 11772 com.apple.Foundation 0x00007fff36dd87a8 __NSThread__start__ + 10643 libsystem_pthread.dylib 0x00007fff6bedfe65 _pthread_start + 1484 libsystem_pthread.dylib 0x00007fff6bedb83b thread_start + 15Thread 48:: BridgeTalk0 libsystem_kernel.dylib 0x00007fff6be19bba