<prompt> Fana ka mohlala o hlakileng oa kamoo ho ithuta ka mochini ho sebelisoang temong.nan  <response>: Instruction in English: Give a detailed example of how machine learning is being used in agriculture. . Response in English: Machine learning algorithms provide a powerful tool for revolutionizing the agricultural industry by optimizing crop yields while minimizing costs and reducing waste. One specific example is precision agriculture, which uses data-driven insights to maximize the efficiency of planting, fertilization, irrigation management, pest control, and harvesting. Sensors, drones, and satellite imagery are used to gather crop, soil, and weather data. This data is fed into machine learning models to identify and track crop growth patterns, nutritional deficiencies, water levels, and signs of disease or pests. The models analyze past weather patterns, crop yields, and soil nutrients to create predictive models to inform farmers when actions such as planting, fertilization or harvesting should take place.Lets take a look at John Deeeres See and Spray technology. As the name implies, the technology allows farmers to target weeds with precision herbicide application. This precision spraying method uses machine learning to analyze the difference between the crops and the weeds then spraying only the Weeds. A camera with image-recognition technology scans the field, identifies the weeds, and differentiate them from crops in real-time. The machine learning algorithm is trained to recognize what a weed looks like, it instructs the sprayer to release herbicide only on the weed, sparing the plants nearby. The result is a reduced use of herbicide up to 90 less and saving of resources and costs.This is just one example of how machine learning is being used to improve the agricultural industry. By utilizing data analysis and predictive modeling, farmers are able to make more informed decisions, conserve resources, increase crop yields and reduce costs. Over time, these technologies will continue to evolve and become even more sophisticated, further enhancing the potential for sustainable, efficient and profitable farming practices. . Response in Sesotho: Mekhoa ea ho ithuta ka mochini e fana ka sesebelisoa se matla sa ho fetola indasteri ea temo ka ho ntlafatsa chai ha e ntse e fokotsa litšenyehelo le ho fokotsa litšila. Mohlala o mong o khethehileng ke temo e nepahetseng, e sebelisang temohisiso e tsamaellanang le data ho eketsa katleho ea ho lema, ho nosetsa, ho laola nosetso, taolo ea likokoanyana le kotulo. Lisensara, li-drones, le litšoantšo tsa satellite li sebelisoa ho bokella litaba tsa lijalo, mobu le boemo ba leholimo. Lintlha tsena li kenngoa mefuteng ea ho ithuta ka mochini ho tseba le ho latela mekhoa ea kholo ea lijalo, khaello ea phepo e nepahetseng, maemo a metsi, le matšoao a mafu kapa likokoanyana. Mehlala e hlahloba mekhoa ea leholimo ea nakong e fetileng, chai ea lijalo, le limatlafatsi tsa mobu ho etsa mehlala ea ho tseba esale pele ho tsebisa lihoai hore na liketso tse kang ho lema, manyolo kapa kotulo li lokela ho etsahala neng. Ha re shebeng theknoloji ea John Deeere ea Bona le ho Spray. Joalo ka ha lebitso le bolela, thekenoloji e lumella lihoai ho shebana le mofoka ka tšebeliso e nepahetseng ea sebolaea-lehola. Mokhoa ona oa ho fafatsa ka nepo o sebelisa ho ithuta ka mochini ho sekaseka phapang lipakeng tsa lijalo le lehola ebe o fafatsa Mofoka feela. Khamera e nang le theknoloji ea ho lemoha litšoantšo e hlahloba tšimo, e khetholla mofoka, me e o khetholle ho lijalo ka nako ea sebele. Algorithm ea ho ithuta ka mochini e koetliselitsoe ho lemoha hore na mofoka o shebahala joang, e laela sefafatsi hore se lokolle sebolaea-lehola feela holima lehola, se boloke limela tse haufi. Sephetho ke tšebeliso e fokotsehileng ea sebolaea-lehola ho fihla ho 90 ka tlase le ho boloka lisebelisoa le litšenyehelo. Ona ke mohlala o le mong feela oa kamoo ho ithuta ka mochini ho sebelisoang ho ntlafatsa indasteri ea temo. Ka ho sebelisa tlhahlobo ea data le mohlala o lebelloang, lihoai li khona ho etsa liqeto tse nang le tsebo, ho baballa lisebelisoa, ho eketsa chai le ho fokotsa litšenyehelo. Ha nako e ntse e ea, litheknoloji tsena li tla tsoela pele ho fetoha le ho ba tse tsoetseng pele le ho feta, ho ntlafatsa le ho feta menyetla ea mekhoa ea temo e tsitsitseng, e sebetsang hantle le e nang le phaello. 